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Pawan P, Mr. "Design and Implementation of Smart Agriculture Robot powered by ESP32 and Blynk App." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48087.
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Abstract- This project introduces an advanced agricultural automation system featuring a smart robot car powered by an ESP32 microcontroller and integrated with the Blynk app. Designed to optimize crop growth, the system uses precise sensors to monitor critical environmental parameters such as temperature, humidity, and soil moisture. Additionally, it includes automated tools like a weeder cutter for efficient grass management and a sprayer for targeted pesticide application. By utilizing the Blynk app, farmers can remotely access real- time data and control the robot, reducing manual labor while improving efficiency and crop yields. This innovative solution aims to enhance farm productivity and sustainability through the strategic use of technology and automation. Key Words: Automation, Robotics, ESP32, Sensors, Blynk app
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Harshini, M., and Vadivel R. "IoT based weather monitoring system for temperature, humidity, rainfall and seismic detection in real time." World Journal of Advanced Research and Reviews 21, no. 3 (2024): 812–22. https://doi.org/10.5281/zenodo.14060621.
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This paper presents the design and implementation of an IoT-based weather monitoring system enhanced with seismic detection capabilities, employing Node MCU microcontroller and the Blynk mobile application platform. The system incorporates various sensors including a rain sensor, Light light-dependent resistor (LDR), a DHT11 sensor for temperature and humidity measurement, and an accelerometer (MPU6050) for earthquake detection. The hardware components are interconnected with the Node MCU microcontroller, facilitating real-time data acquisition from the sensors. Programming of the Node MCU is conducted using the Arduino IDE, enabling data transmission to the Blynk app via Wi-Fi connectivity. The Blynk app serves as the user interface, allowing seamless visualization and monitoring of weather parameters and seismic activity on smartphones. Key functionalities of the system include periodic data collection from sensors, transmission of sensor data to the Blynk server, and updating of graphical representations in the Blynk app interface. The accelerometer sensor is utilized to detect changes in acceleration, indicative of seismic disturbances. Threshold values are defined to trigger alerts within the Blynk app in the event of potential seismic activity. The implementation undergoes rigorous testing to ensure accuracy, reliability, and responsiveness under diverse environmental conditions. Considerations such as network stability, power efficiency, and data security are addressed to enhance system performance and longevity. The system demonstrates promising capabilities for real-time weather monitoring and seismic event detection, offering valuable insights for disaster preparedness and environmental analysis. IoT-based weather monitoring system integrated with seismic detection provides an effective solution for comprehensive environmental monitoring, leveraging the power of IoT technology and mobile applications for enhanced data accessibility and analysis. Further advancements and optimizations can be explored to extend the functionality and scalability of the system for broader applications in environmental science and disaster management.
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V A, Jithin. "IOT Based Motor Bike Speed Control System Using Blynk App." International Journal of Science and Research (IJSR) 13, no. 6 (2024): 1259–63. http://dx.doi.org/10.21275/sr24614205438.
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Lavenia, Tanashia, and Fahmy Rinanda Saputri. "Blynk App-Based Plant Monitoring System Design." International Journal of Science and Environment (IJSE) 3, no. 4 (2023): 145–50. http://dx.doi.org/10.51601/ijse.v3i4.82.
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Plantations represent a vital economic sector in Indonesia. However, farmers who rely on plantations for their livelihood often encounter challenges related to air and soil quality, which can significantly impact plant growth. Each type of plant requires specific air and soil conditions to thrive optimally, including factors such as air temperature, humidity, soil moisture, and pH levels. To address these issues, a solution has been developed in the form of a plantation monitoring system that can be accessed remotely and in real-time through cellular and desktop applications. This monitoring system utilizes various sensors, including DHT11 sensors, resistive soil moisture sensors, and soil pH sensors, all of which are meticulously calibrated with digital soil sensors. The collected data can be conveniently monitored and managed through an Internet of Things platform, such as Blynk.Based on the case study, the measurement system that is displayed on Blynk has a range of 0-100 °C for air temperature, 0-100% for air humidity, 0-1000 for soil moisture, and 0-14 for soil pH.
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Harshini M and R. Vadivel. "IoT based weather monitoring system for temperature, humidity, rainfall and seismic detection in real time." World Journal of Advanced Research and Reviews 21, no. 3 (2024): 812–22. http://dx.doi.org/10.30574/wjarr.2024.21.3.0679.
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This paper presents the design and implementation of an IoT-based weather monitoring system enhanced with seismic detection capabilities, employing Node MCU microcontroller and the Blynk mobile application platform. The system incorporates various sensors including a rain sensor, Light light-dependent resistor (LDR), a DHT11 sensor for temperature and humidity measurement, and an accelerometer (MPU6050) for earthquake detection. The hardware components are interconnected with the Node MCU microcontroller, facilitating real-time data acquisition from the sensors. Programming of the Node MCU is conducted using the Arduino IDE, enabling data transmission to the Blynk app via Wi-Fi connectivity. The Blynk app serves as the user interface, allowing seamless visualization and monitoring of weather parameters and seismic activity on smartphones. Key functionalities of the system include periodic data collection from sensors, transmission of sensor data to the Blynk server, and updating of graphical representations in the Blynk app interface. The accelerometer sensor is utilized to detect changes in acceleration, indicative of seismic disturbances. Threshold values are defined to trigger alerts within the Blynk app in the event of potential seismic activity. The implementation undergoes rigorous testing to ensure accuracy, reliability, and responsiveness under diverse environmental conditions. Considerations such as network stability, power efficiency, and data security are addressed to enhance system performance and longevity. The system demonstrates promising capabilities for real-time weather monitoring and seismic event detection, offering valuable insights for disaster preparedness and environmental analysis. IoT-based weather monitoring system integrated with seismic detection provides an effective solution for comprehensive environmental monitoring, leveraging the power of IoT technology and mobile applications for enhanced data accessibility and analysis. Further advancements and optimizations can be explored to extend the functionality and scalability of the system for broader applications in environmental science and disaster management.
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C., Venkataiah, and Jayamma Manjula. "An Automatic Basic Smart Home Prototype System." Recent Trends in Analog Design and Digital Devices 6, no. 2 (2023): 39–46. https://doi.org/10.5281/zenodo.8288935.
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<em>The term "internet of things" (IoT) describes a network of interconnected hardware, software, and services that enable users to control hardware and software remotely from a computer, smartphone, or other internet-connected device. It also describes the use of code and algorithm frameworks to control hardware and software for use in artificial intelligence (AI) technologies. If we want to create complicated systems utilising Python algorithms, we can manage our equipment, materials, and products remotely using mobile apps or online interfaces by connecting them to a Wi-Fi or Ethernet network. That provides a very brief definition of the Internet of Things. Beyond the "smart home," where it is largely used to control lighting and other home appliances, the Internet of Things (IoT) has a wide range of uses. It can also be used as a network security system or a factory system, for example, to operate completely automatic industrial machines, unlock or lock the main building door, or control network and telephone connections. However, with the aid of Internet of Things technologies, more may be achieved. Large structures like industries and government buildings often have a tonne of lighting fixtures. Some employees don't turn them off before leaving the office. The study's suggested energy-saving tactic is to have the security guard control the building's lighting using the Blynk app on a smart smartphone. Switches placed around the building and the Blynk app may both be used to control the lights depending on the wiring configuration. This paper presents a fundamental smart home prototype or a low-cost, straightforward approach to regulating loads over a Wi-Fi network.</em>
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Bhutada, Sudit, Suparn More, Tarush Shrivastav, Chaitanya Suryawanshi, and Pranav Suryawanshi. "IoT Based Smart Sewage Monitoring System for Smart City." International Journal for Research in Applied Science and Engineering Technology 10, no. 11 (2022): 1702–7. http://dx.doi.org/10.22214/ijraset.2022.47704.
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Abstract: Sewer monitoring is an important aspect of maintaining cleanliness around us. Lack of sewage monitoring systems may lead to blockage of the drainage. These blockages in sewers may lead to sewer flooding and pollution. Sometimes, workers may meet with accidents as they might not be aware of the condition inside the manhole. This paper aims to measure and analyze the real time levels of sewage. In order to ensure safety of the workers working under some severe conditions. This project attempts to devise an IOT technology that shall detect the level of sewage in the tunnel while keeping track of flow rate of it. If the level exceeds beyond threshold, it shall send an alert through the blynk web app. Additionally provide the information about the flow through the blynk web app itself. To obtain the desired output ultrasonic sensor, flow sensor, nodemcu esp8266, Arduino Uno and blynk web app are used in the proposed model.
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Syah, Muhammad Fakhrudin, and Yanu Shalahuddin. "Blynk Android App-Based System Smart Home Prototype." JTECS : Jurnal Sistem Telekomunikasi Elektronika Sistem Kontrol Power Sistem dan Komputer 2, no. 2 (2022): 91. http://dx.doi.org/10.32503/jtecs.v2i2.684.
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Rumah cerdas mode manual dan mode otomatis menggunakan mikrokontroler NodeMCU dimana beban rumah di monitoring dan di kendalikan menggunakan aplikasi Blynk. Pertama lampu otomatis menggunakan sensor LDR dengan batasan nilai ADC sebesar 400. Kedua lampu manual di kontrol ON (menyala) dan OFF (tidak menyala) menggunakan aplikasi Blynk. Ketiga control otomatis menggunakan sensor dht11 untuk mengendalikan kipas dengan batasan suhu di atas 26° dan kelembaban di bawah 40% dua kipas menyala bersama, suhu 25° dan kelembaban 40% - 55% ssatu kipas saja yang menyala dan suhu di bawah 23° kelembaban di atas 55% kedua kipas tidak menyala. Hasil penelitian menunjukkan bahwa alat menggunakan mikrokontroler NodeMCU bekerja dengan baik untuk otomatisasi lampu dan kipas. Kemudian untuk kondisi kendali manualnya pada sistem dapat dilakukan sejauh 10 meter.
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Arem Satish Kumar Reddy, M Jahnavi, V Vishnu Vardhan Reddy, P Giridhar Reddy, and E Raviteja. "IOT Based DC Motor Speed and Direction Control." International Journal of Scientific Research in Science and Technology 11, no. 2 (2024): 707–14. http://dx.doi.org/10.32628/ijsrst24112110.
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This paper introduces an innovative Internet of Things (IoT) based system designed to control the speed and direction of a DC motor using the Blynk mobile application. The system integrates an OLED display (SSD1306), an ESP8266 microcontroller, a 300 RPM DC motor, and an L293D motor driver. With this system, users can remotely manage the speed and direction of the DC motor through the Blynk app, accessible on smartphones or tablets. Real-time feedback on the motor's speed and direction is provided via the OLED display, enhancing user interaction and experience. The ESP8266 microcontroller acts as the core control unit, interfacing with the Blynk app via Wi-Fi to receive user commands and adjust the motor's operation accordingly. The bidirectional control feature of the L293D motor driver enables precise manipulation of the motor's speed and direction. By leveraging IoT technology and the Blynk app, users gain the flexibility to control the motor from any location with internet connectivity, offering convenience and accessibility. Additionally, the OLED display enhances the user interface, enabling intuitive monitoring and adjustment of motor parameters. In conclusion, this system offers a versatile and user-friendly solution for remotely managing DC motor speed and direction, with potential applications spanning across home automation, robotics, and industrial control systems.
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Bhamidi Rama and K.Raajasekhar. "System design for waste management using Blynk app." World Journal of Advanced Engineering Technology and Sciences 13, no. 2 (2024): 119–29. http://dx.doi.org/10.30574/wjaets.2024.13.2.0523.
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In the present era of information and technology, the most important problem faced by the municipal authorities is the garbage collection from various parts of the city. We need is to have a monitoring system that gives information about garbage in different localities immediately to the concerned person. The aim of this work is to design a cost effective and portable system, that enable its use for making cities clean using smart technology. The design has been carried out to cater to the current waste management situation and optimize by providing an affordable waste management solution as the main objective. The designed system also has an automatic opening of the latch of the bin when someone is detected nearby, makes announcement, moves on Radio Frequency (RF) controlled trolley and sends information regarding the level of the bin to the person incharge for collection. The trolley design specifications are also discussed in the present study. This work introduces a groundbreaking Smart Waste Management System that harnesses the power of the Internet of Things (IoT) to revolutionize waste collection and disposal. Overall, this system not only addresses the pressing issue of efficient waste disposal but also promotes sustainability and community engagement through its display of data on blynk app. It represents a promising step towards cleaner, greener, and smarter urban environments.
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Shanto, Shakib Sadat, Mushfiqur Rahman, Jaber Md Oasik, and Hamim Hossain. "Smart Greenhouse Monitoring System Using Blynk IoT App." Journal of Engineering Research and Reports 25, no. 2 (2023): 94–107. http://dx.doi.org/10.9734/jerr/2023/v25i2883.
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Aims: A smart greenhouse system that utilizes the Blynk IoT app is an innovative technology designed to automate greenhouse operations, thereby reducing labor and resource costs and optimizing plant growth.
 Study Design: In this paper we propose a real-time mobile app-based monitoring system to automate greenhouse agriculture. The system involves the usage of Blynk mobile application that allows users to monitor, control both manually and remotely as well as automation of various aspects of the greenhouse environment in real-time.
 Place and Duration of Study: Department of Computer Science and Engineering, American International University-Bangladesh (AIUB), Dhaka, Bangladesh between February 2023 to April 2023.
 Methodology: Multiple environmental sensors, temperature, humidity, soil moisture, light intensity, and Light Dependent Resistor (LDR) sensors continuously collect data. Farmers can remotely monitor and control the greenhouse using the Blynk IoT application. A fire sensor alarms it. Farmers can tailor alerts for environmental changes like irrigation or heating. They can manually and remotely control fans, lights, and humidifiers. If temperature, light intensity, or humidity drop below a specified threshold, the system turns on fans, lights, and humidifiers. A water pump that kicks on automatically based on soil moisture and can be regulated remotely ensures the plants get enough water.
 Results: The proposed system allows for real-time updates of sensor data and enables remote control of connected devices via the mobile app from any location, with notable fast processing subject to the quality of the internet connection.
 Conclusion: Upon successful implementation of this research, we anticipate the emergence of an advanced automated smart greenhouse monitoring system that will greatly benefit farmers in Bangladesh. This new method could change greenhouse and farm management, improving efficiency, cost, and crop yields.
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Saarika, Peddapuram, Nemmani Sai Tej Varma, Meduri Ram Gopal Chowdary, and Meduri Ram Gopal Chowdary. "IoT Based Health Monitoring System using Blynk App." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (2023): 1917–21. http://dx.doi.org/10.22214/ijraset.2023.50495.
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Abstract: Internet of Things (IoT) based remote health monitoring system have an expansive potential of becoming an integral part of the future medical system. In particular, these systems can play life-saving roles for monitoring of patients with critical health issues. Any health care monitoring system must be free from incorrect data, which may arise because of instrument failure or communication errors. In this project, to detect reliability and accuracy of data obtained by the IoT-based remote health monitoring.
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Venkatesh, Parmesh Satya Sai, Palvinder Singh, Amit Sachdeva, Rahul Kumar, and Sangeeta Rawal. "Smart Irrigation System Uses IoT and Blynk App." Macromolecular Symposia 407, no. 1 (2023): 2200123. http://dx.doi.org/10.1002/masy.202200123.
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Lakshmi prabha S and R. Vadivel. "Sensorsync auto: Integrating IoT sensors for smart vehicle air quality monitoring." World Journal of Advanced Research and Reviews 21, no. 3 (2024): 495–502. http://dx.doi.org/10.30574/wjarr.2024.21.3.0678.
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This project introduces an innovative Air Quality Monitoring System based on IoT technology, leveraging components such as NodeMCU, DHT11, MQ135, a buzzer, an LCD, and the Blynk 2.0 app. The primary objective is to provide real-time monitoring of environmental conditions, encompassing temperature, humidity, and air quality, while also offering audible alerts for immediate user notification. The NodeMCU functions as the central microcontroller, interfacing with the DHT11 sensor for temperature and humidity readings and the MQ135 sensor for air quality measurements. The collected data is visually displayed on a 16x2 LCD screen. Additionally, the system enables remote monitoring and control through the Blynk 2.0 app. The app displays comprehensive information using gauge widgets for temperature, humidity, and air quality, along with detailed statistics through a display widget. To enhance user awareness, an integrated buzzer delivers audible alerts when air quality exceeds predefined thresholds. The Arduino sketch incorporates essential libraries for sensor interfacing, data processing, and seamless integration with the Blynk app. The app is configured with widgets corresponding to virtual pins in the sketch, ensuring smooth communication between the hardware and the app. This IoT-based Air Quality Monitoring System serves as a valuable tool for individuals and communities concerned about indoor or outdoor air quality. The system's features, including real-time data visualization, remote monitoring capabilities, and an alert system, contribute to creating a more informed and healthier living environment.
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Lakshmi, prabha S., and Vadivel R. "Sensorsync auto: Integrating IoT sensors for smart vehicle air quality monitoring." World Journal of Advanced Research and Reviews 21, no. 3 (2024): 495–502. https://doi.org/10.5281/zenodo.14057629.
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This project introduces an innovative Air Quality Monitoring System based on IoT technology, leveraging components such as NodeMCU, DHT11, MQ135, a buzzer, an LCD, and the Blynk 2.0 app. The primary objective is to provide real-time monitoring of environmental conditions, encompassing temperature, humidity, and air quality, while also offering audible alerts for immediate user notification. The NodeMCU functions as the central microcontroller, interfacing with the DHT11 sensor for temperature and humidity readings and the MQ135 sensor for air quality measurements. The collected data is visually displayed on a 16x2 LCD screen. Additionally, the system enables remote monitoring and control through the Blynk 2.0 app. The app displays comprehensive information using gauge widgets for temperature, humidity, and air quality, along with detailed statistics through a display widget. To enhance user awareness, an integrated buzzer delivers audible alerts when air quality exceeds predefined thresholds. The Arduino sketch incorporates essential libraries for sensor interfacing, data processing, and seamless integration with the Blynk app. The app is configured with widgets corresponding to virtual pins in the sketch, ensuring smooth communication between the hardware and the app. This IoT-based Air Quality Monitoring System serves as a valuable tool for individuals and communities concerned about indoor or outdoor air quality. The system's features, including real-time data visualization, remote monitoring capabilities, and an alert system, contribute to creating a more informed and healthier living environment.
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Mohammed, Anas Ahmed, Begum Zubeda, Ahmed Mohammed, and Khaleel Mohammed. "Robot that can be Controlled from Anywhere Using IOT for Multipurpose Applications." Journal of Sensor Research and Technologies 4, no. 1 (2022): 1–9. https://doi.org/10.5281/zenodo.6655875.
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<em>Robots are used to make a task or work easier, which is being possible by the advancement in technologies. Like Internet of thing (IoT), Artificial Intelligence (AI) and many other emerging technologies. This robot will be controlled via android mobile phone. We can control the movement of the robot by sending instructions via BLYNK App from our android phone. The robot will receive the instruction via the Node MCU ESP8266 module and process the data with Arduino microcontroller. Then it will move the robot in all direction with the help of motor driver L293D by following the instructions received from android mobile phone on BLYNK app. An APR33A3 voice module is used in this robot which can be programmed to read out particular voice message fed by user and it is also controlled through BLYNK app. The main purpose of this robot will be to provide medicines to Alzheimer’s patient on required time, receive packages or parcels when nobody is at home, for delivering food and medicines to patients who have spreadable disease and are in isolation.</em>
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Adristiawan, Ranu Arva, Ina Sholihah Widiati, and Lilik Sugiarto. "Smart Lighting System Design at STMIK AMIKOM Surakarta Using Blynk." Journal of Artificial Intelligence and Software Engineering (J-AISE) 5, no. 1 (2025): 45. https://doi.org/10.30811/jaise.v5i1.6292.
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The Internet of Things (IoT) is a technology that enables automation in human activities by connecting hardware, software, and the internet for communication and control. This study focuses on an IoT-based smart light control system designed using the Blynk app. The system utilizes the ESP8266 NodeMCU module and a 5V 8-Channel Relay as the primary components. The Blynk app is used as the controller, connecting the hardware to the user through an Android device. The research follows an experimental approach with three phases: tool design, tool construction, and tool testing. A miniature of the STMIK AMIKOM SURAKARTA environment was used as a prototype to simulate the system’s implementation. Test results show that the system operates effectively in remote control with internet coverage of up to 30 meters, achieving a 100% success rate within a range of 5–30 meters. All lights responded correctly to input commands from the Blynk app with 100% success. The monitoring system also showed stable connectivity between the app and hardware, though slight delays occurred due to internet network stability. This system is expected to serve as a practical solution for efficient management of electrical devices in educational settings, improving both energy efficiency and convenience.
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Reza, Muhammad Ilham Fatchu. "Analisis Kinerja Komunikasi Data Pada Model Taman Cerdas." Jurnal Pendidikan Sains dan Komputer 2, no. 02 (2022): 297–300. http://dx.doi.org/10.47709/jpsk.v2i02.1755.
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Penggunaan platform IoT dengan kualitas yang tidak sesuai sangat berbahaya karena dapat mengakibatkan delay pengiriman data yang tinggi dan kesalahan pengiriman data pada sistem monitoring. Banyak kendala ditemukan dalam memilih plaform yang sesuai untuk sistem monitoring, seperti delay pengiriman yang tinggi, data error rate yang besar, terlalu sulit untuk membuat tampilan platform, serta kesulitan dalam mengakses platform yang digunakan yang menimbulkan kesusahan dalam menentukan platform yang akan digunakan. Oleh karena itu diperlukan suatu perbandingan kinerja komunikasi data yang dapat membantu pengguna memilih platform yang sesuai untuk proses monitoring yang dirancang. Kinerja komunikasi data dari masing-masing platform sangat dibutuhkan untuk mengetahui kualitas dari platform App Invertor, Thingspeak dan Blynk. Kinerja platform diukur berdasarkan hasil perbandingan delay dan data error rate masing-masing platform. Hasil perbandingan kinerja ketiga platform ini dapat mempermudah pengguna untuk memilih platform yang cocok untuk dipakai sesuai dengan fungsi dan kualitas yang diinginkan. Oleh karena itu diperlukan suatu perbandingan kinerja komunikasi data untuk mengetahui kualitas dari platform App Invertor, Thingspeak dan Blynk.
 Berdasarkan hasil penelitian, disimpulkan bahwa bahwa semua sistem pada model taman cerdas dapat mengirim data hasil baca sensor menuju platform IoT yang dituju. Namun hanya sistem yang menggunakan platform App Invertor dan Blynk dapat berjalan dengan baik sesuai dengan perancangan, jika dianalisis menggunkan perhitungan delay dan data error rate tiap pengiriman data. Dari hasil perbandingan kinerja platform dapat disimpulkan bahwa pkatform Blynk lebih unggul dibandingkan platform lainnya.
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Khafidhoh, Nur, and Kharimun Tholib. "PENGENDALI LAMPU BERBASIS IOT (INTERNET OF TINGS) MENGGUNAKAN SMARTPHONE ANDROID." Exact Papers in Compilation (EPiC) 1, no. 3 (2019): 145–50. http://dx.doi.org/10.32764/epic.v1i3.157.
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IOT (Internet of Things) konsep yang bertujuan untuk memperluas manfaat dari konektivitas internet di mana terhubung secara terus menerus. IoT (Internet of Things) dapat digunakan di gedung-gedung untuk mengontrol perangkat elektronik seperti ruang kilat yang dapat dioperasikan dari jarak jauh melalui jaringan komputer. Penelitian dilakukan dengan membangun perangkat remote control dengan menggunakan APP untuk melakukan kontrol proses di jaringan lokal melalui server web yang tertanam ke dalam perangkat remote control teradap pengendali lampu ruangan. Aplikasi Blynk mampu memberikan kemudahan kepada pengguna, sehingga dapat mengontrol lampu dari jarak jauh. Ketika dalam keadaan bepergian kita bisa menyalakan lampu ruangan dengan mengirim informasi data perintah yang dikirim dari App blynk, kemudian data tersebut diakses dengan ESP8266 sebagai mikrokontroler pengendali lampu. Untuk menyalakan dan mematikan lampu, pada App Blynk dibuatkan sebuah remot button On / Of yang berfungsi untuk menyalakan dan mematikan lampu menggunkan Smartphone Android, ada dua fitur kontrol yang mengontrol lampu yang digunakan untuk menyalakan lampu dan fitur kontrol mematikan lampu dalam waktu dan jarak yang diinginkan. Uji coba yang dilakukan termasuk salah satu skenario lampu yang patah sebagai asumsi pada saat pemasangan di rumah terjadi lampu yang rusak.
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Binnerianto, Binnerianto, Alfian Ma’arif, and Iswanto Iswanto. "Monitoring and power control on solar panels based on the Internet of Things (IoT)." Signal and Image Processing Letters 3, no. 3 (2023): 9–19. https://doi.org/10.31763/simple.v3i3.71.
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Indonesia is a tropical country. Therefore, to utilize abundant solar energy, solar power plants or solar power are made. This research aims to make it easier to monitor the voltage of solar panels and batteries through the Blynk application and Google spreadsheets, as well as automatic power controllers. The tools used in this study are Arduino Uno, MCU ESP8266 node, voltage sensors, relays, solar charge controllers, inverters, batteries, and solar panels. The monitoring and power control tool in this study works at voltages of 12VDC, 5VDC, and 220VAC. Solar panel and battery voltage measurement results are automatically updated in the Blynk app and Google sheets. In the Blynk app the data is updated every 6 seconds, but in Google sheets the data is updated every 1 minute. The average voltage sensor readings per day of solar panels and batteries are 13.011V and 12.969V, with the average error percentage of solar panel voltage is 0.13875% and on batteries is 0.0059%.
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Niharika, M. "Home Automation Controlled through Wifi-Module and Blynk App." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 3374–83. http://dx.doi.org/10.22214/ijraset.2021.35710.
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This Home Automation System is based on the ESP8266 wifi module. With the help of this project the electrical loads can be controlled using your android cell phone. For this project we have to connect ESP8266 Wi-fi module and cell phone with the same WIFI network. This project can be used at homes, offices, colleges, universities, and so on. For the Worldwide control system, we can use the Nodemcu ESP8266 Wifi Module. This system is very convenient and economical to use. Major components used in it are: esp8266 wifi modulerelays. With this internet of things we can control four home appliances from the Blynk app, we can also use manual switches to control the appliances with or without internet and we can also monitor real-time feedback. So this is very useful to make our devices smart .In this project we have used four channel relay. In this project we have controlled AC appliances like Lights etc. In this project we used IFTTT with the help of ifttt we can connect all of our apps and devices.
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Ambekar, Prof Rupali. "Home Automation System Using ESP8266 and Blynk Mobile App." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem31601.
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The emergence of Internet of Things (IoT) technology has revolutionized various aspects of our lives, including home automation. This abstract introduces a home automation system based on the ESP8266 microcontroller, a versatile and cost-effective solution for IoT projects. The proposed system aims to provide homeowners with remote control and monitoring capabilities over various home appliances and devices through a user-friendly interface. The core components of the system include the ESP8266 microcontroller, which serves as the central processing unit, and sensors/actuators for interaction with the physical environment. The system utilizes Wi-Fi connectivity to establish communication between the ESP8266 module and a designated mobile application or web interface, enabling users to remotely monitor and control connected devices from anywhere with internet access. Keywords: Home-Automation, Energy Efficient, Blynk IOT Platform.
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Thabagnana, priya D., and R.Vadivel. "Biometric door lock system with automated fire detection alert." World Journal of Advanced Research and Reviews 21, no. 3 (2024): 1201–8. https://doi.org/10.5281/zenodo.14063537.
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The reconciliation of biometric advancements and fire recognition components in shrewd homes is critical for access control and crisis readiness. The Blynk mobile app is used to access this project's biometric door lock and automated fire detection system. For access authorization, the biometric system uses cutting-edge fingerprint or facial recognition technology. The mechanized fire location framework screens the climate for potential fire dangers and triggers an alert when distinguished. The Blynk application gives controller and checking abilities, permitting inhabitants to lock or open the entryway, get ongoing warnings, and remotely screen the fire discovery framework's status. The microcontroller coordinates communications between the frameworks, outfitted with Wi-Fi availability. The Blynk application point of interaction is planned with easy-to-understand gadgets, permitting inhabitants to control and screen the coordinated frameworks. Safety efforts, for example, encoded correspondence conventions and secure stockpiling of biometric information, shield client protection. This all-encompassing approach to residential security ensures that their homes can effectively handle access control and emergencies, providing residents with security and peace of mind.
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Oktoviana, Tria Candra, Yudhi Gunardi, and Fina Supegina. "Rancang Bangun Sistem Monitoring Smart Home Menggunakan Energi Cadangan Berbasis Internet of Things (IoT)." Jurnal Teknologi Elektro 11, no. 2 (2020): 85. http://dx.doi.org/10.22441/jte.2020.v11i2.004.
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Sebagai kebutuhan yang utama bagi masyarakat, keamanan dan kenyaman suatu rumah harus dipertimbangkan. Pengaplikasian konsep Smart Home yang kemudian menjadikan Smartphone sebagai penghubung antara pengguna dan peralatan merupakan salah satu solusinya. Penggunaan Smartphone sebagai penghubung ini dapat digabungkan dengan konsep IoT sehingga memungkinkan pengguna dapat memonitor dan mengontrol peralatan melalui internet. Tentu saja dengan bertambahnya peralatan elektronik yang terhubung, dibutuhkan energi cadangan agar memastikan semua tetap baik-baik saja disaat supply utama terganggu. Pembuatan sistem ini terdiri dari beberapa komponen. Proses menggunakan Arduino Mega 2560 sebagai kontrol utama dan Android Phone (Blynk App) sebagai User Interface. Output yang terdiri dari Motor Servo, Buzzer, dan LED. Selain itu juga, terdapat Air Quality Sensor MQ-135, Magnetic Switch MC-38, dan Flame Sensor KY-026 sebagai komponen penunjang sistem monitoring. Hasil pengujian menunjukan, Sitem ini dapat dilakukan dengan menggunakan Blynk App pada perangkat android. Perubahan warna pada LED diukur berdasarkan voltase output PWM yang sesuai dengan spectrum warna pada Blynk App. Flame sensor sebagai indikasi terjadinya kebakaran di ruangan yang ditampilkan pada Phone notification dan twitter. Air Quality bisa menjukan keterangan qualitas udaya yang ada di ruangan. Hasil pengujian unjuk kerja sistem dapat berfungsi sebagai notifikasi pada Android Phone dan twitter, juga dapat mengontrol LED dan servo sebagai contoh apliaksi dari Smart-home.
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Bright, E. Immanuvel, V. S. Arun Pravin, V. Jothika, A. Kulanthaivelu, and A. Mythili. "Automated Solar Energy Multi-Function Farm Robot." Journal of Instrumentation and Innovation Sciences 7, no. 3 (2022): 11–16. http://dx.doi.org/10.46610/jiis.2022.v07i03.003.
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The major goal of creating this robot was to offer farmers a versatile, tiny, and reasonable robot for sustainable crop production. It is a multi-tasking robot that uses solar energy for a range of tasks, such as spraying nutrients on crops and mowing lawns. The data gathered by the gadget is sent to farmers using a cloud website called BLYNK app and the field is monitored by the farmers by browsing the BLYNK app channel link. This project uses Node-MICROCONTROLLER ESP8266, DHT11 sensor, and soil moisture sensor. The Wi-Fi module built inside the microcontroller transmits the data to the cloud database of the BLYNK app. Additionally, it has a sensor module that can identify hurdles and alert the user while also notifying the robot side with a buzzer. It indicates the right path to take the robot in. We have a large area to cover with the robot because all of these tasks are carried out utilizing solar energy, which eliminates the need for an additional power source. Because this robot is controlled by a smartphone, the human effort will be reduced. It is economical because it involves several operations. It is also user-friendly because it delivers message indications to the owner via a mobile application.
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Usikalu, M. R., S. C. Okogbue, and E. I. Ogunwale. "Development of Energy-Efficient Smart Switch and Lighting System." IOP Conference Series: Earth and Environmental Science 1492, no. 1 (2025): 012017. https://doi.org/10.1088/1755-1315/1492/1/012017.
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Abstract The need for better security measures in controlling access to vital utilities bring about the high demand for smart home systems. In this project a smart switch and socket system was developed using the ESP8266 microcontroller and the Blynk application as wireless control. The main goal is to design and implement a cost-effective system that ensures dependable remote control and monitoring of electrical devices. The project provides a functional prototype capable of managing device states and enabling power cut-off for safety especially in school environments, to enhance child safety by adding the ESP8266 with relay modules. The Blynk app was used which facilitates effective monitoring and control of various electrical loads. Effective monitoring and control of various loads was facilitated by the Blynk app. The results showed that the microcontroller’s response time in putting on relay 1 and putting off relay 2 respectively were 1.2 and 1.1 seconds. In case when the load exceeds the safe limit, it ensures power cut off enhancing the safety and reliability.
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Mohd, Khairul Akli Bin Ab Ghani, Zain Bin Abdul Rahim Mohd, and Hanis Bin Mohd Khairul Azli Muhammad. "ADVANCEMENTS IN HEALTHCARE THROUGH DESIGN AND DEVELOPMENT OF AN INTELLIGENT INTRAVENOUS BAG MONITORING AND ALERT SYSTEM." Engineering and Technology Journal 08, no. 12 (2023): 3240–43. https://doi.org/10.5281/zenodo.10440840.
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The Intelligent Intravenous Bag Monitoring and Alert System is a device designed for nighttime patient monitoring, allowing nurses to focus on other duties and prevent air bubbles from entering the patient's bloodstream. The device uses an S-type load cell to measure IV bag contents, and the Blynk app to display readings on a smartphone. The device's CPU, a NodeMCU, operates on a voltage range of 5V to 12V. The device's goal is to monitor the current IV content level, which can be checked using a smartphone and the LCD display. This innovative solution is particularly useful for intravenous (IV) treatment, which allows patients to receive fluids, medications, and nutrients directly into their veins. The device's effectiveness is further enhanced by the Blynk app.
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M. Marhoon, Hamzah, Alfian Ma’arif, Haider Dheyaa Kamil Aljanabi, Ali Ihsan Alanssari, and Israa Nadheer. "IoT-Based Low-Cost Children Tracker System." Signal and Image Processing Letters 5, no. 1 (2023): 72–79. http://dx.doi.org/10.31763/simple.v5i1.62.
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Recently many cases of missing children between ages 14 and 17 years have been reported. Parents always worry about the possibility of kidnapping their children. This work proposes an Android-based solution to aid parents to track their children in real-time. Nowadays, most mobile phones are equipped with internet service capabilities allowing them to connect with the world. The system's architecture is built on two main components: GPS satellite and IoT technology. The most important features of this work are the low cost, lightweight, and small size. The Blynk app is installed on the mobile phone and the GPS is attached to the NodeMCU microcontroller. The location information is reached through the Blynk app with the help of map services.
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Yasir, Gagas Abdul, and Fathia Frazna Az-Zahra. "Prototipe Pendeteksi Kebakaran Menggunakan NodeMCU ESP8266 Dengan implementasi Logika Fuzzy." Elkom : Jurnal Elektronika dan Komputer 15, no. 2 (2022): 280–88. http://dx.doi.org/10.51903/elkom.v15i2.737.
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Fires doesn’t know the place and time, they can happen anywhere and anytime. Some of the causes of fires are human error, electrical short circuit, cigarettes, stoves, etc. As a result, many parties suffered losses, both property, business entities, and casualties. Based on these problems, we need a system that is able to detect fires and take preventive action, namely notifications via the internet using the Blynk application. In this study, the parameters used are the temperature sensor, the MQ-2 smoke sensor and the flame sensor. The output of the system is a buzzer, LED, LCD, and Blynk app as notifications. The Fuzzy Logic method is applied to the system to control the Buzzer, LED, LCD and notification determinants to the Blynk application.
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k, Venkatesh. "IOT Based Boiler Industrial Automation Using Esp8266." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem46143.
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Abstract -This research describes the development and coding of an IoT-based boiler industrial automation system which integrates ESP8266 NodeMCU microcontroller with Blynk platform for real-time monitoring along with control functionalities. The system depends on an HC-SR04 ultrasonic sensor and a DHT11 temperature sensor for measuring boiler temperature and water level in the boiler tank. The system activates buzzer alerts with simultaneous warning notifications in the Blynk application whenever each temperature exceeds 50°C or water level falls below 7cm.The connectivity used to transmit sensor data via Wi-Fi comes from an ESP8266 which provides smooth access to Blynk cloud-based server capabilities. Users gain access to remote key boiler parameter observation through the system which has the effect of minimizing human inspection along with improving operational safety and industrial efficiency. The developed prototype presents an affordable automation solution suitable for industrial applications which follows standards of smart factories in Industry. Key Words:esp8266 microcontroller, temperature and humidity sensor, ultrasonic sensor, buzzer, Blynk app.
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Adetia, Lola, Sri Wahyu Suciyati, Amir Supriyanto, and Gurum Ahmad Pauzi. "Soil Moisture Monitoring System Applied to the Internet of Things (IoT) Based Automatic Watering Equipment in Papaya Fields." Journal of Energy, Material, and Instrumentation Technology 3, no. 2 (2022): 63–73. http://dx.doi.org/10.23960/jemit.v3i2.99.
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In this research, the design of an automatic plant watering device and a real-time soil moisture monitoring system was realized in an internet of things (IoT) based papaya farm. The design of this automatic plant watering device aims to create an automatic plant watering system using the FC-28 sensor and a monitoring system using the Blynk application on papaya fields. In the system, the microcontroller used is an Arduino UNO with outputs, namely a dc pump, 16X2 LCD, and Blynk application. Based on the android interface app, the Blynk app can monitor the soil moisture value in real-time every 1 second. Data collection was done by measuring the moisture value in 3 papaya farms with different crop ages, and the tool will water when the soil moisture value read by the sensor is> 350 or <65%. Based on the study results, the device can run well, as shown by the pump can water when the soil moisture value is> 350 or <65 %, and the pump will stop when the soil moisture value is <350 or> 65%.
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Uthaiah M S, Hiren, and Jagan Babu A. "Real Time Patient Monitoring System." International Transactions on Electrical Engineering and Computer Science 3, no. 1 (2024): 34–40. http://dx.doi.org/10.62760/iteecs.3.1.2024.75.
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This research introduces a comprehensive real-time patient monitoring system leveraging IoT for continuous data acquisition. The system employs Blynk, a mobile app, for real-time alerts through email and mobile notifications. Monitoring vital parameters such as temperature, humidity, and heart rate, the collected data is displayed on an LCD and stored in the cloud via the Blynk platform. An integrated buzzer ensures immediate alerts for abnormal values, enhancing the system's responsiveness. This innovative approach enhances patient care by providing instant notifications and access to crucial health metrics, contributing to proactive medical interventions.
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Yusuf, Revy Muhammad, and Ari Purno Wahyu W. "Internet of Things-based Gas Leak Detection with Alerts Via SMS and Blynk App." SinkrOn 7, no. 3 (2022): 811–16. http://dx.doi.org/10.33395/sinkron.v7i3.11477.
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Gas cylinders are one of the needs that humans use every day. The use of gas cylinders is often used for cooking, both for household needs and industrial needs. Gas leaks are a big problem that can give rise to explosions and fires due to combustible gas. Explosions and fires that occur as a result of this gas leak can cause a lot of losses. This study aims to build an Internet of Things-based gas leak detection tool using NodeMCU ESP8266 as a microcontroller that functions as a brain to execute commands that have been made. Blynk App and SMS to provide information to users in case of gas leaks detected by MQ-6 sensors. This tool will detect gas leaks that occur by receiving data from the MQ-6 sensor which is then processed by NodeMCU ESP8266. If a gas leak is detected, the buzzer will sound and the tool will give an alert by popping up a notification on the Blynk application with an internet connection and sending an alert via SMS so that the alert can be sent even in the absence of an internet connection. With this tool, users can find out earlier if there is a gas leak by getting a notification on the Blynk application and receiving a gas leak SMS, to avoid explosions and minimize damage and losses caused by gas leaks.
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Deepak, NR, and N. Thanuja. "Smart City for Future: Design of Data Acquisition Method using Threshold Concept Technique." International Journal of Engineering and Advanced Technology (IJEAT) 11, no. 1 (2021): 251–56. https://doi.org/10.35940/ijeat.A3187.1011121.
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The massive deployment of Internet of Things (IoT) is allowing Smart City projects and initiatives all over the world. Whereas IOT deals with intricate systems that integrates multiple disperse components towards their synergetic use. Due to resource constraints, there will be a problem in the future to provide all the services to the residents. To continue to serve and improve the standard of living of the growing population, it is necessary to develop smart cities. The Smart City aims to make optimal and sustainable use of all resources, while maintaining an appropriate balance between social, environmental and economic costs. The wireless sensors are attached to street lamp, water tank, dustbin. Sensors are then attached to Arduino microcontroller board where each and every necessary parameter for city are monitored and updated to cloud. The cloud is connected with Blynk server in turn which is connected to build in Blynk application of user's Android phone. The technology we use is IOT in this model a system of interconnected smart modules is developed where each and every parameter necessary for a city is monitored and updated to the cloud. Emphasis is given on how sensing and communication technologies of IOT can effectively be used in smart city monitoring. The project aims at developing a system which facilitates aids in collection of data with the help of interconnected modules consisting of multiple sensors useful for smart city monitoring. Further this project also includes controlling of some parameters like water, light and dust bin.
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P.A, Shamna. "A Health Monitoring and Security System for Home Isolated Patients Based on the IO." International Journal of Engineering Research in Electronics and Communication Engineering 9, no. 7 (2022): 1–4. http://dx.doi.org/10.36647/ijerece/09.07.a001.
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The not unusual place healthcare advantages with crafty decisions, execute super communications technology that can produce creative communities. Health performs a prime role in our everyday routine. Real-time fitness tracking for initial detection of lifestyles alarming sicknesses via superior sensing and conversation era typically make contributions boost treatment to shop the lives of patients. The predominant goal of this task is to expand a machine with the intention to deliver frame temp, MAX 30100 oxygen sensor and pulse sensor as well. Plus the Controller ESP32 Dev board is interfaced with the sensors. For patients security system by using Python software and serially connected laptop to ESP 32.Wireless records transmission is processed the usage of Arduino via the Wi-Fi module. The controller ESP32 is applied for Wireless records transmission on IOT method the usage of an android app BLYNK. Visually digitalizing the records on a Blynk Android App. Patient`s report of records might be saved over a duration of time. The records is saved the usage of an Android app with a view to control the tool the usage of the app.
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Dwi Santoso, Agus, Dani Eka Mahendra, and Dirhamsyah Dirhamsyah. "Temperature and Vibration Monitoring System on Electric Motors From Wireless Remote Control Using Blynk App." SAINSTECH NUSANTARA 1, no. 1 (2024): 21–29. https://doi.org/10.71225/jstn.v1i1.40.
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The purpose of this research is to create a device that can track the temperature and vibration of an electric motor. It has two sensors: a thermocouple sensor and a piezoelectric sensor. When the electric motor is operating, the device displays digital data in the form of numbers on the monitor screen wirelessly. This research shows that the electric motor can be effectively monitored remotely. The Blynk app can connect with the unit within 0-200 meters without any obstacles. However, if the unit is blocked by a barrier, the distance that can be covered by the Blynk application is 0-160 meters. The test results show that the average electric motor temperature measured is 31.7°C, and the percentage of error value obtained is -1.01%.
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Vignesh N, Manoj M, Suhaas P Reddy, and Koushik Reddy. "Smart Parking System using IOT with Blynk and RFID." International Research Journal on Advanced Engineering Hub (IRJAEH) 2, no. 04 (2024): 814–22. http://dx.doi.org/10.47392/irjaeh.2024.0115.
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This project presents a Smart Parking System tailored to address the unique parking challenges of organizations and restricted-access entities. It integrates Infrared (IR) sensors, Radio-Frequency Identification (RFID) tags, and Cloud connectivity. IR sensors monitor parking space occupancy in real-time, while RFID tags serve as secure physical credentials for authorized personnel, enhancing access control. The system incorporates a Blynk app for authorized users to access real-time parking data, check availability, and helps users make informed decisions about parking. This app acts as a centralized hub for efficient parking management, improving the overall parking experience. Architecturally, the system utilizes a centralized control unit controlling interactions between IR sensors, RFID authentication, and the Blynk cloud server. This approach allows only authorized users to access the parking lot, resulting in a scalable and adaptable solution prioritizing exclusivity, efficiency, convenience, and security in parking management for specialized environments.
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Hossain, Safaet, and Md Payer Hamid Bijoy Chowdhury. "AgroSense: An IoT-Based Manual Crops Selection Farming." International Journal on Information and Communication Technology (IJoICT) 10, no. 1 (2024): 53–61. http://dx.doi.org/10.21108/ijoict.v10i1.918.
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This capstone project introduces an Intelligent Irri-gation System leveraging IoT technology to enhance agriculture. Using the ESP32 microcontroller and various sensors for soil moisture, water levels, and environmental conditions, the system automates irrigation based on real-time data. It communicates through the Blynk platform, allowing remote monitoring via a mobile app. The project includes a smart algorithm for crop selection and irrigation control, displayed on an LCD and acces- sible through the Blynk app. By considering soil moisture and water availability, the system adapts to different crops like rice, wheat, potato, and corn. The project promotes sustainability by optimizing water usage and encourages efficient crop growth. The integration of a manual crop count for field feedback enhances decision-making. Overall, this system presents a user-friendly and innovative solution for precision agriculture, showcasing the transformative potential of IoT, data analytics, and machine learning in modernizing farming practices.
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Umamaheswari, Sabari L., Thota Dhana Sekhar, S. Guna Saideep, S. Joshua, Arimani Munirakesh, and T. Jebamani. "Radio Frequency Identification System and IoT based Tech Genix Lock." Revista Gestão Inovação e Tecnologias 11, no. 4 (2021): 5564–76. http://dx.doi.org/10.47059/revistageintec.v11i4.2579.
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In this paper a Door lock system using RFID and IOT Technologies. Using smart phone with Blynk App the Admin or owner can remotely monitor, control (ON & OFF the access) and can get Blynk notifications from the door lock when someone try to access it or if any suspicious activity happens (someone try to break the it). The registered User will receive Gmail’s when he tries to unlock the door. Other features are the admin or owner can remotely unlock and lock the door from any place, and he can disable the switch which is used for getting out from the room, for blocking the unknown persons who went with theft RFID card, it is done by seeing the notifications send to the user when door is unlocked with his card through Admin. For authorized person the lock will be opened and closed automatically after a predetermined delay. If it is an unauthorized person tries it alerts the admin and neighbors through a Blynk notification and buzzer sound. Thus, once implemented, the system will prove An Effective security with minimum cost and increase in comfort for system users and also more efficient compared to existing cost ineffective systems.
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Aji Tyo Syahputra, Achmad Fauzi, and Milli Alfhi Syari. "Design and Build Running Text Controls Using IoT." Journal of Artificial Intelligence and Engineering Applications (JAIEA) 4, no. 1 (2024): 295–301. http://dx.doi.org/10.59934/jaiea.v4i1.625.
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This research designs and builds an Internet of Things (IoT)-based running text control system using the P10 display module which can be controlled through the Blynk application and displays the temperature in real-time using the DHT22 sensor. The system consists of hardware such as a microcontroller, Wi-Fi module, P10 LED display, and DHT22 sensor to measure temperature and humidity. The Blynk app is used as a user interface to control the messages displayed on the P10 module and monitor the temperature data in real-time. Software development is carried out to integrate the hardware with the Blynk application and enable efficient data transmission. The test results show that this system is able to accurately display text messages and temperature data with low latency. These systems can be applied in a variety of scenarios such as public information systems, environmental surveillance, and dynamic advertising applications.
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Sumarahinsih, Andrijani, Sri Aji Eka Mahendra, and Muhamad Zidan Dholifun Nafsi. "Deteksi Kekeruhan untuk Memantau Kualitas Air Berbasis IoT." TELKA - Telekomunikasi Elektronika Komputasi dan Kontrol 9, no. 1 (2023): 74–83. http://dx.doi.org/10.15575/telka.v9n1.74-83.
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Kualitas air merupakan bagian yang sangat penting dalam kesehatan manusia. Parameter wajib dalam parameter fisik kualitas air yang harus diperiksa salah satunya adalah kekeruhan. Rancangan sistem ini sebagai penelitian awal kualitas air dengan deteksi kekeruhan secara otomatis yang dapat dipantau dari jarak jauh menggunakan aplikasi blynk di smartphone. Keluaran sensor turbidity diolah oleh mikrokontroler NodeMCU ESP8266 dan ditampilkan pada aplikasi IoT Blynk app yang terintregasi dengan sistem Android melalui Wi-Fi. Pengukuran kekeruhan dilakukan pada tiga kondisi air yaitu air keruh, air agak keruh, dan air jernih. Hasil pengukuran pada tiga kondisi air menunjukkan air jernih dengan kekeruhan kurang dari 2 NTU, nilai tegangan kurang dari 3 V, pada air agak keruh dengan 28 NTU, nilai tegangan 2 V, dan pada air keruh lebih dari 75 NTU, nilai tegangan kurang dari 0.5 V. Water quality is an essential part of human health. One of the mandatory parameters in the physical parameters of water quality must be examined is turbidity. The design of this system is initial research of water quality with automatic turbidity detection, which can be monitored remotely using a Blynk application on a smartphone. The turbidity sensor output is processed by the NodeMCU ESP8266 microcontroller and displayed on the IoT Blynk App, which is integrated with the Android system via Wi-Fi. Tests were carried out in three conditions: turbid, slightly turbid, and clear water. Test results for three water conditions show clear water with turbidity less than 2 NTU, a voltage value less than 3 V, slightly turbid water with 28 NTU, a voltage value of 2 V, and turbid water more than 75 NTU, a voltage value of less than 0, 5V
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Ahmed, Sahil, Syed Abdul Khaleel, Mohammed Mubarak, and Prof Pushpa T. "Water Motor and Water Quality Management Using Wifi and Blynk App." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (2022): 138–41. http://dx.doi.org/10.22214/ijraset.2022.41175.
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Abstract: As population is bound to expand and water is being used at the utmost level of exploitation, groundwater level is diminishing rapidly, the planet might face water emergency soon. India is an agrarian country, farmers rely upon groundwater, however to their needs and satisfaction the predictability of rainfall and a suitable weather is quite flawed. So they are compelled to dig borewells to a prominent depth and conclusively rely upon it. Larger part of individuals living in metropolitan regions are subjected to borewells as there could be no other option for water. The progressions in innovation like Internet of Things, Cloud computing, Big Data, Internet facility can be utilized to plan a framework to screen these gigantic significant borewells to beat impediments like low quality drinking water, expanded labor prerequisites, irreversible harm caused to inadequately checked public motors. Plan and advancement of checking pH, turbidity in the water and observing motor temperature and momentum in borewells would be of extraordinary use. Additionally borewells are not midway checked prompting sudden breakdown of the motor. Borewells are the indispensable source of water for individuals in a large portion of the towns and practically all urban areas to achieve their essential prerequisites of a day. The framework has two sensors for to be specific turbidity and pH sensor to check water quality and temperature sensor and current sensor for motor monitoring, Ardunio model and , Single microcontroller chip, a wifi chip, MpH sensor, is utilized to send the information of different borewells to a solitary unit. Subsequently by this framework it is feasible to monitor n number of borewells in a municipality somewhat in one mobile application Keywords: M pH sensor, Turbidity sensor, Temperature sensor, Flow sensor, Ardurino model, WI-FI module.
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Ipanhar, A., Toni Kusuma Wijaya, and Pamor Gunoto. "PERANCANGAN SISTEM MONITORING PINTU OTOMATIS BERBASIS IOT MENGGUNAKAN ESP32-CAM." SIGMA TEKNIKA 5, no. 2 (2022): 333–50. http://dx.doi.org/10.33373/sigmateknika.v5i2.4590.
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ABSTRAK Seiring dengan berkembangnya teknologi pada zaman ini, kemampuan teknologi digital semakin beragam salah satu Contohnya.Sistem otomatis membuka pintu menggunakan face recognition. Dengan adanya face recognition tidak semua orang dapat mengakses pintu rumah. Perangkat yang dibutuhkan untuk metode pengenalan wajah (face recognition) adalah kamera sebagai perangkat untuk Pengenalan wajah. Tujuan dari penelitian ini adalah merancang sistem keamanan pintu dengan menggunakan face recognition berbasis internet of thinks menggunakan App Blynk sebagai monitoring agar pemilik rumah tahu siapa saja yang tertangkap kamera. Sistem ini dibuat dengan ESP32-Cam, DfPlayer Mini, dan Motor Servo. Berdasarkan hasil analisis dan pengujian yang telah di lakukan, diperoleh kesimpulan bahwa sistem keamanan pintu rumah dengan menggunakan ESP32-Cam berbasis internet of thinks dalam penelitian ini dapat bekerja secara optimal. Alat ini dapat membuka menggunakan face recognition, Touch Sensor dan App Blynk, sehingga dapat meminimalkan tindak kejahatan pencurian terhadap barang berharga. Hasil Pengujian Sistem Face Detection dan Face Recognition Berjalan Dengan Baik. Walaupun memiliki delay saat pendaftaran wajah dan pendeteksian wajah.
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Amale, Devdas. "Aquaculture Monitoring and Control System Based On IOT." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem32363.
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- This project offers a comprehensive solution for monitoring and regulating aquaculture conditions using cutting-edge Internet of Things (IoT) technology. By leveraging ESP8266 NodeMCU and Arduino UNO, alongside a range of sensors including the DS18B20 waterproof temperature sensor, water level sensor, and turbidity sensor, it ensures real-time monitoring of vital parameters in aquatic environments. Precise control of water circulation and management is made possible through the integration of motor drivers with submersible pumps. The Blynk App serves as the user-friendly control interface, granting remote access and management of water pumps. Meanwhile, sensor data is continuously collected and displayed on ThingSpeak, offering consumers valuable insights into the current state of their aquaculture setup. This project harnesses IoT technology to enhance aquaculture management efficiency and productivity, while also ensuring optimal environmental conditions for aquatic life. Its modular design enables scalability and customization, catering to various aquaculture configurations and settings. Key Words: Arduino UNO, Sensors, Motor Driver, Wifi Module, ThingSpeak, IOT, Aquaculture, Blynk App.
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Zulkipli, Muhammad Asyraf, Khairul Huda Yusof, Almadora Anwar Sani, and Muhammad Auzi Herizal. "Development of IoT Based Clothesline using Microcontroller." International Journal of Mechanics, Energy Engineering and Applied Science (IJMEAS) 1, no. 1 (2023): 12–18. http://dx.doi.org/10.53893/ijmeas.v1i1.217.
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Sunlight has long been used in daily activities, especially drying clothes. The only concern is sudden rain and people are not aware that their clothes are still on the clothesline. Due to this, many opt to dry their clothes indoor, which takes longer to dry. With regard to the aforementioned issue, in this research, Internet of Things (IoT) concept is applied in the production of automatic clotheslines by the integration of weather monitoring and forecasting with automatic clothesline. This automatic clothesline has an LDR sensor and a rain sensor to detect light and raindrops in the environment, then the values obtained from these two sensors are processed by the microcontroller to control the DC motor that can moves the clothes inside and outside from the sensors system which can be monitored and controled via smartphone using the Blynk app. The outcome of this research is an automatic clothesline prototype that is accessible through the Blynk app; utilising LDR sensors, rain sensors, and motor to retrieve clothes.
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Rithika, Rithika. "Federated Internet of Things and Cloud Computing for Pervasive Patient Health Monitoring System." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem45449.
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Abstract -The proposed system leverages a federated Internet of Things (IoT) and cloud computing approach to create a pervasive patient health monitoring system, integrating NodeMCU with a pulse sensor, temperature sensor, SOS switch, and the Blynk app. This system continuously monitors vital signs such as heart rate and body temperature, transmitting the data in real time to the cloud via the NodeMCU microcontroller. The Blynk app serves as an interface for healthcare providers and caregivers, offering instant access to patient data and sending notifications during emergencies triggered by the SOS switch. The federated IoT framework enhances scalability and data security by allowing multiple devices to contribute to a central database, facilitating comprehensive health analytics and remote patient management. This innovative solution aims to improve patient care through continuous monitoring, timely alerts, and the ability to analyse health trends over time, ultimately reducing the burden on healthcare facilities and enabling proactive medical interventions. Keywords: Federated IoT, Cloud Computing, Real-time Health Data, Federated Learning, Data Privacy.
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Sowmya, K. V., Harshavardhan Jamedar, and Pradeep Godavarthi. "Remote Monitoring System of Robotic Car Based on Internet of Things Using Raspberry Pi." Journal of Computational and Theoretical Nanoscience 17, no. 5 (2020): 2288–95. http://dx.doi.org/10.1166/jctn.2020.8886.
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Development of surveillance and monitoring systems are quite difficult and challenging task at times. The design of a system depends on the environment to be monitored. Such surveillance systems need to have dynamic features, for e.g., cameras used for monitoring may be mobiles, web cams etc. installed to the system. Such systems are used in various large buildings like shopping malls where it could incur high cost for installing cameras in each level of buildings. Even for people like security officers it could be huge task to cover an entire building. Other examples for dynamic surveillance system could be detecting poisonous gases in an area, explosives and any fire risk elements. Another case is that it can reach where the area is not accessed by humans. In view of these challenges we propose a Remote monitoring system where a Robotic Car is installed with camera, Ultrasonic sensor, DHT11, PIR sensors according to the environment involved. The instructions are given to the robotic car using a third party app called Blynk as user interface. Here the raspberry pi is used as a microcontroller which is connected to WIFI acts as the communication medium to connect the server provided by Blynk. The Blynk app which acts as a user interface is interacted with the car using Wi-Fi and its server.
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Alfa, Arini Hidayah, and Amperawan. "MONITORING ARUS DAN TEGANGAN PENERANGAN LAMPU JALAN BERBASIS INTERNET OF THINGS." JURNAL TELISKA 18, no. 6 (2025): 48–54. https://doi.org/10.5281/zenodo.15052833.
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<em>The purpose of this research is to develop an Internet of Things (IoT) based system capable of monitoring the current and voltage of street lighting. This system utilizes the INA219 sensor to measure the voltage and current generated by the solar panel, which is then sent in real-time through the NodeMCU module using WiFi to the Blynk application. Test results show that the INA219 sensor has good accuracy, with an average error of 0.73% for voltage and 0.75% for current. This monitoring system enables effective remote monitoring of solar cell performance, with data displayed on the Blynk app in real-time and accurately.</em>
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More, Shital. "GARBAGE MANAGEMENT SYSTEM FOR SMART CITY “." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem34924.
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This project presents an IoT-based smart dustbin using NodeMCU, MQ-135 gas sensor, ultrasonic sensors, a servo motor, and the Blynk platform. It features automatic lid operation via proximity detection and monitors fill level and gas concentration in real-time, displayed on the Blynk app. A custom PCB ensures reliable connections. If harmful gas levels are detected, the system triggers a buzzer and opens the lid for ventilation. This smart dustbin enhances hygiene and safety, demonstrating IoT's potential in improving waste management for households and public spaces Key Words: NodeMCU (ESP12E), Ultrasonic Sensor [2 units],7805 Voltage Regulator, MQ-135 Gas Sensor, Servo Motor 9g,Buzzer,DC Adapter (9 Volt),Soldering Iron, Solder Wire.
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Sravani, P. "Pipe Guard: Real-Time Leak Detection and Management." International Journal for Research in Applied Science and Engineering Technology 13, no. 3 (2025): 1024–29. https://doi.org/10.22214/ijraset.2025.67463.
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This project introduces an integrated IoT-based water monitoring system utilizing NodeMCU and Blynk for real-time alerts and efficient water resource management. The system employs flow sensors, water level sensors, and turbidity sensors to monitor water usage, detect leaks or unauthorized usage, and assess water quality. Flow sensors establish baseline water consumption patterns, enabling instant anomaly detection, while an LCD display provides real-time visual feedback on critical parameters. The system also includes a buzzer for immediate auditory alerts in case of irregularities such as low water levels or high turbidity. By leveraging IoT technology, this solution ensures prompt notifications through the Blynk app, reducing water loss and enhancing sustainability through real-time interventions.