Relevant bibliographies by topics / Raspberry Pi 3 and Sensors

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Raspberry Pi 3 and Sensors'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Raspberry Pi 3 and Sensors"

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Deepak, Dhuri, Gaushal Aditya, and Sawant |. Tanaji Renose |. Mrs. Mansi Kolwankar Roshan. "Speaking Hand using Raspberry Pi 3." International Journal of Trend in Scientific Research and Development 2, no. 3 (2018): 768–70. https://doi.org/10.31142/ijtsrd11047.

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There are some people who don't have the ability to speak or they lose it in an accident. They find it difficult to express their thoughts or to convey their message to other people. This project can be a medium between dumb deaf people and society. Dumb people throughout the world use sign language to communicate with others this is possible only for those who have undergone special trainings. Common people also face difficult to understand the gesture language. To overcome these real time issues, we are developing this system. This reduces the communication gap between dumb and ordinary
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Belcore, E., M. Piras, A. Pezzoli, G. Massazza, and M. Rosso. "RASPBERRY PI 3 MULTISPECTRAL LOW-COST SENSOR FOR UAV BASED REMOTE SENSING. CASE STUDY IN SOUTH-WEST NIGER." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13 (June 4, 2019): 207–14. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w13-207-2019.

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<p><strong>Abstract.</strong> The technology of UAV (Unmanned Aerial Vehicles) is rapidly improving and UAV-integrated sensors have kept up with it, providing more efficient and effective solutions. One of the most sought-after characteristics of on-board sensors is the low costing associated to good quality of the collected data. This paper proposes a very low-cost multiband sensor developed on a Raspberry device and two Raspberry Pi 3 cameras that can be used in photogrammetry from drone applications. The UAV-integrated radiometric sensor and its performance were tested in
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Balajee, Maram. "A framework for Predicting Temperature, Humidity Using Raspberri pi 3." J. of Advancement in Engineering and Technology 6, no. 2 (2018): 04. https://doi.org/10.5281/zenodo.1219170.

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Internet of Things (IoT) is used to control any electrical and electronic equipment embedded with software, sensors and network connectivity that enables the devices to collect and analyze data. Raspberry pi3 is a single-board computer that was designed using Python Programming language and can be controlled and accessed remotely through an Internet of Things platform. This project is about humidity and temperature monitoring system using Raspberry pi3 and IoT. DHT11 temperature and humidity sensor is used to collect the data of temperature, humidity and sends the information to the database u
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ABI DZAR AL GIFARRY, Abdul Rakhman, and Suroso. "RANCANG BANGUN SISTEM KAMERA PEREKAM PORTABLE MENGGUNAKAN RASPBERRY PI TERINTEGRASI DENGAN SERVER BERBASIS INTERNET OF THINGS." Jurnal Qua Teknika 11, no. 2 (2021): 47–57. http://dx.doi.org/10.35457/quateknika.v11i2.1617.

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Camera recorders in general will continue to record continuously without stopping and this will take up storage space. This is deemed less effective because of its limited capacity and also in terms of security, the recorded information is very vulnerable. Therefore, in this study, a portable recording camera system was designed using multi sensors and integrated raspberrypi with the server and then the recording results will automatically be sent to the server and forwarded to the user's email. This portable recording system uses a PIR sensor (Passive Infrared Receiver) HC-SR501, Raspberry Pi
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Simon, Béla-Csaba, Stefan Oniga, and Iuliu Alexandru Pap. "Activity and health monitoring systems." Carpathian Journal of Electronic and Computer Engineering 11, no. 1 (2018): 11–14. http://dx.doi.org/10.2478/cjece-2018-0003.

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Abstract This paper presents an Open Platform Activity and health monitoring systems which are also called e-Health systems. These systems measure and store parameters that reflect changes in the human body. Due to continuous monitoring (e.g. in rest state and in physical effort state), a specialist can learn about the individual's physiological parameters. Because the human body is a complex system, the examiner can notice some changes within the body by looking at the physiological parameters. Six different sensors ensure us that the patient's individual parameters are monitored. The main co
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Gheorghe, A. C., and M. S. Chiran. "Raspberry Pi Based Weather Station." Scientific Bulletin of Electrical Engineering Faculty 18, no. 2 (2018): 63–66. http://dx.doi.org/10.1515/sbeef-2017-0037.

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AbstractThe paper proposes the development of a weather station made up from a Raspberry Pi 3 and the Sense Hat shield. The shield used in this application has sensors for temperature, humidity and pressure. The weather station can connect to the internet wirelessly or with a standard UTP (Unshielded twisted pair) connection, this connection gives us the ability to take part in a scientific community for the sole purpose to monitor the weather all around the world. The program for the weather station is made in Python, the program language is easy to used and very versatile.
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GANESH, E. N. "Health Monitoring System using Raspberry Pi and IOT." Oriental journal of computer science and technology 12, no. 1 (2019): 08–13. http://dx.doi.org/10.13005/ojcst12.01.03.

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Health Monitoring system using IOT describes the collection and interoperation of Patient data collected from the sensors from the hospitals through IOT Technology. The collected sensor data will support the doctor in the emergency situation for the betterment and improvement of Patient health. The hardware platform to implement the project consists of a sensor and Raspberry Pi 3 Model B equipped in a way to communicate with a doctor through the Internet and Smart Phone. This proposed idea will help doctors to know about the state of patient health and monitor anywhere in the world. In this pr
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Muchtar, Husnibes, and Rahmat Sabar Hakiki. "Monitoring Suhu Kelembaban dan Polusi Udara Berbasis Raspberry Pi 3 dengan Menggunakan Transmisi Radio Frekuensi." RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) 3, no. 2 (2020): 61. http://dx.doi.org/10.24853/resistor.3.2.61-70.

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Perkembangan ilmu pengetahuan teknologi saaat ini di tandai dengan bermunculan nya alat-alat yang menggunakan sistem kontrol digital dan otomatis, teknologi menjadi hal yangan sangat berguna bagi kehidupan manusia, mulai dari teknologi mekanik, listrik dan komunikasi yang sangat membantu aktivitas manusia agar lebih mudah dan lebih efisien.Penggunaan teknologi komunikasi sistem kontrol dan monitoring. Dalam hal ini pengontrolan menggunakan Handy talky sebagai komunikasi dan raspberry PI 3 sebagai pengontrolnya. Sensor untuk mendeteksi lingkungan sekitar dan LCD untuk menampilkan hasil sensor.
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Muck, P. Y., and M. J. Homam. "Iot Based Weather Station Using Raspberry Pi 3." International Journal of Engineering & Technology 7, no. 4.30 (2018): 145. http://dx.doi.org/10.14419/ijet.v7i4.30.22085.

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Weather is the day-to-day state of atmosphere that is hard to predict which affects the activities of mankind and has great significance in many different domains. However, the current weather station in the market is expensive and bulky which cause inconvenience. The aim of this project is to design a weather station with real time notifications for climatology monitoring, interface it to a cloud platform and analyse weather parameters. In this project, a weather station is assembled using SparkFun Weather Shield and Weather Meter and Arduino Uno R3 to collect weather parameters. Data collect
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Jasmine, K. Prasanthi, P. Bajibi, V. Divya, and K. Ratna Geethica. "Home Automation using Raspberry PI, IoT and ALEXA." International Journal of Advance Research and Innovation 8, no. 2 (2020): 42–47. http://dx.doi.org/10.51976/ijari.822007.

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Today, The Internet of Things is the present trending technology. The devices in our home can have the ability to communicate with each other wirelessly. This project presents the low cost home automation system using IoT based Raspberry pi along with Amazon Alexa. This technology uses sensors for passing the data to the Internet. We power our system using Amazon Web Services (AWS), Amazon Alexa. The computing model that is used in the paper is Raspberry pi 3 model B+ which acts as the brain of the system by processing and responding to the user request. A Raspberry pi is used as the hardware
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Dissertations / Theses on the topic "Raspberry Pi 3 and Sensors"

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Eraldo, Bruno, Grimaldo Quispe, Heyul Chavez-Arias, Carlos Raymundo-Ibanez, and Francisco Dominguez. "Design of a control and monitoring system to reduce traffic accidents due to drowsiness through image processing." Institute of Electrical and Electronics Engineers Inc, 2019. http://hdl.handle.net/10757/656307.

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El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.<br>It is known that 33% of traffic accidents worldwide are caused by drunk driving or drowsiness [1] [2], so a drowsiness level detection system that integrates image processing was developed with the use of Raspberry Pi3 with the OpenCV library; and sensors such as MQ-3 that measures the percentage of alcohol and the S9 sensor that measures the heart rate. In addition, it has an alert system and as an interface for the visualization of the data m
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Ruprecht, Nathan Alexander. "Implementation of Compressive Sampling for Wireless Sensor Network Applications." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1157614/.

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One of the challenges of utilizing higher frequencies in the RF spectrum, for any number of applications, is the hardware constraints of analog-to-digital converters (ADCs). Since mid-20th century, we have accepted the Nyquist-Shannon Sampling Theorem in that we need to sample a signal at twice the max frequency component in order to reconstruct it. Compressive Sampling (CS) offers a possible solution of sampling sub-Nyquist and reconstructing using convex programming techniques. There has been significant advancements in CS research and development (more notably since 2004), but still nothing
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Liakka, M. (Mikko). "Hormipellin asennon ilmaisin Raspberry Pi 3:lle." Bachelor's thesis, University of Oulu, 2018. http://urn.fi/URN:NBN:fi:oulu-201803261387.

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Työssä liitettiin IR-etäisyysanturi Raspberry Pi 3:een. Anturin avulla mitattiin, oliko savuhormin pelti auki vai kiinni. Raspberry Pi 3 lähetti tilatiedon GoogleDocs-tiedostoon, jolloin pellin asennon pystyi katsomaan älypuhelimesta. Väliin suunniteltiin komparaattoripiiri, koska anturin lähtö oli analoginen ja Raspberry Pi 3:ssa oli vain digitaalisia tulopinnejä. Lisäksi piirilevylle lisättiin kaksi LED:ä, jotka ilmaisivat pellin ja Raspberry Pi 3:n tilaa. Laite oli toimiva, mutta tarkkuus jäi hieman puutteelliseksi, mikä johtui anturin ja komparaattorin huonosta sovituksesta. Ilmaisin oli t
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Johansson, Gustav. "Real-Time Linux Testbench on Raspberry Pi 3 using Xenomai." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-235484.

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Test benches are commonly used to simulate events to an embedded system for validation purposes. Microcontrollers can be used for making test benches and can be programmed with a bare-metal style, i.e. without an Operating System (OS), for simple cases. If the test bench would be too complex for a microcontroller, then a Real-Time Operating System (RTOS) could be used instead of a more complex hardware. A RTOS has limited functionalities to guarantee high predictability. A General-Purpose Operating System (GPOS) has a vast number of functionalities but has low predictability. The literature st
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Ekbom, Daniel, Daniel Enkvist, and Oscar Sandén. "Tester av Raspberry Pi 3 och Intel Galileo Gen 2 : En övergång från Arduino." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-302634.

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Dagens enkortsdatorer skiljer sig mycket i hårdvara. Prestandamässigt skiljer sig dessutom datorerna åt beroende på vilket operativsystem som används samt vilket programmeringsspråk och bibliotek som används för I/O kommunikation. Vi har testat Raspberry Pi 3 och Intel Galileo Gen 2 med operativsystemen Linux och Windows 10 IoT Core. Program för att mäta tidsåtgång vid digitala läsningar, digitala skrivningar, analoga läsningar, uppstart och skrivning till SD-kort har utvecklats. Resultaten från dessa visar stora skillnader mellan systemen och vilket som lämpar sig bäst beroende på tillämpning
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Yevsieiev, V., and A. Skripkin. "Development of Architecture for Mobile Robot Control Based on Raspberry Pi Model 3 B+." Thesis, Scientific Publishing Center, 2022. https://openarchive.nure.ua/handle/document/20283.

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Modern robotics is impossible without the use of high-performance single-board computers, on the basis of which complex control systems can be implemented using computer vision, sensing systems, which make it possible to implement complex decision-making algorithms in a stochastic environment of a mobile robot using neural networks.
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Amorosi, Davide. "Analog signal generation with Raspberry Pi boards for short-range communications." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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The aim of this thesis is to realise a low-cost wireless application for short range underwater communications, using ultrasonic frequencies. The project can be described in four main steps. The first one is a detailed study of the serial peripheral interface. It has been carried out in order to understand how to physically and logically connect, through SPI, the hardware involved in this work: a Raspberry Pi 3 model B and the MCP4822 digital to analog converter embedded in the ADC-DAC Pi Zero module. The second phase concerns a Simulink model created in order to reduce the complexity of the p
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Lundgren, Marcus, and Johan Persson. "Constructing and Evaluating a Raspberry Pi Penetration Testing/Digital Forensics Reconnaissance Tool." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-42805.

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Tools that automate processes are always sough after across the entire IT field. This project's aim was to build and evaluate a semi-automated reconnaissance tool based on a Raspberry Pi 4, for use in penetration testing and/or digital forensics. The software is written in Python 3 and utilizes Scapy, PyQt5 and the Aircrack-ng suite along with other pre-existing tools. The device is targeted against wireless networks and its main purpose is to capture what is known as the WPA handshake and thereby crack Wi-Fi passwords. Upon achieving this, the program shall then connect to the cracked network
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Mölder, Mikael. "A Mobile Platform for Measuring Air Pollution in Cities using Gas Sensors." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232121.

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Although air pollution is one of the largest threats to human health, the data available to the public is often sparse and not very accurate nor updated. For example, there exists only about 5-10 air quality measuring points across the city of Stockholm. This means that the available data is good in close proximity of the sensing equipment but can differentiate much only a couple of blocks away. In order for individuals to receive up to date information around a larger city, stationary measurements are not sufficient enough to get a clear picture of how the current state of the air quality sta
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Zec, Kenan, and Sofia Hansson. "Home Care Logistics: A Monitoring System with a Communication Unit for the Elderly." Thesis, KTH, Medicinteknik och hälsosystem, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-261778.

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Humans are growing older which presents challenges for the health care system. One solution for allowing individuals to continue living in their home, despite age related dif- ficulties, is a sensor based surveillance system. These systems can monitor a number of parameters, for example motion or temperature. If certain limits are exceeded the sys- tem can notify family members or health care services. The aim of this project was to build a prototype of such a system which also had to be cheap and easy to install and maintain. The final prototype consists of a motion detection sensor in the ba
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Books on the topic "Raspberry Pi 3 and Sensors"

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Gay, Warren. Advanced Raspberry Pi. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3948-3.

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Follmann, Rüdiger. Das Raspberry Pi Kompendium. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54911-3.

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Dembowski, Klaus. Raspberry Pi – Das Handbuch. Springer Fachmedien Wiesbaden, 2013. http://dx.doi.org/10.1007/978-3-658-03167-1.

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Shovic, John C. Raspberry Pi IoT Projects. Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-1377-3.

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Follmann, Rüdiger. Das Raspberry Pi Kompendium. Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-58144-5.

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VanGundy, Braxton. Setting Up Apache Server on a Raspberry Pi 3. Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5848-4.

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Strickland, James R. Raspberry Pi for Arduino Users. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3414-3.

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Watkiss, Stewart. Learn Electronics with Raspberry Pi. Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-1898-3.

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Dembowski, Klaus. Raspberry Pi - Das technische Handbuch. Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-08711-1.

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Gay, Warren W. Raspberry Pi System Software Reference. Apress, 2014. http://dx.doi.org/10.1007/978-1-4842-0796-3.

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Book chapters on the topic "Raspberry Pi 3 and Sensors"

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James, Alice, Avishkar Seth, and Subhas Chandra Mukhopadhyay. "Programming Raspberry Pi for IoT System." In Smart Sensors, Measurement and Instrumentation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85863-6_4.

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Ziemann, Volker. "Actuators." In A Hands-On Course in Sensors Using the Arduino and Raspberry Pi, 2nd ed. CRC Press, 2023. http://dx.doi.org/10.1201/9781003341703-3.

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Ziemann, Volker. "Actuators." In A Hands-On Course in Sensors Using the Arduino and Raspberry Pi. CRC Press, 2018. http://dx.doi.org/10.1201/9781351188319-3.

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Chawngsangpuii, R., and Prodipto Das. "An Ultrasonic Sensor with a Raspberry Pi for Avoiding Obstacle." In Learning and Analytics in Intelligent Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42363-6_39.

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Jmal, Achraf, Rim Barioul, Amel Meddeb Makhlouf, Ahmed Fakhfakh, and Olfa Kanoun. "An Embedded ANN Raspberry PI for Inertial Sensor Based Human Activity Recognition." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51517-1_34.

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Zheng, Honglei, Hong Guo, and Shimin Wu. "Design and Implementation of Small-scale Sensor Network Based on Raspberry Pi." In Lecture Notes in Computer Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34139-8_36.

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Mbandi, Josephine, and Michael Kisangari. "Data Collection Using Wireless Sensor Networks and Online Visualization for Kitui, Kenya." In African Handbook of Climate Change Adaptation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_151.

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AbstractKenya is a developing country with a population of 47,213,282 people this comprises of 56% low-income earners. Small businesses and crop production represent 23% of the income within the country, which is at risk as soils become less productive. Various factors have led to this, climate change and land overuse being leading causes. Without adaptation, the rural to urban migration will continue to increase.Through Internet of Things (IoT) and specifically wireless sensor networks, we can change how we obtain and consume information. Small-scale farmers can collect data and in exchange r
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Abdul Kadhar, K. Mohaideen, and G. Anand. "Sensors and Signals." In Data Science with Raspberry Pi. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6825-4_4.

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Ziemann, Volker. "Host Computer: Raspberry Pi." In A Hands-On Course in Sensors Using the Arduino and Raspberry Pi, 2nd ed. CRC Press, 2023. http://dx.doi.org/10.1201/9781003341703-5.

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Ziemann, Volker. "Host Computer: Raspberry Pi." In A Hands-On Course in Sensors Using the Arduino and Raspberry Pi. CRC Press, 2018. http://dx.doi.org/10.1201/9781351188319-5.

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Conference papers on the topic "Raspberry Pi 3 and Sensors"

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Yaragani, Balaji, S. Srinivasulu Raju, Sai Ram Ragi, Sri Viresh Cheemala, and Annabathula Lohith. "Women Safety Night Patrolling Robot Using Raspberry Pi 3." In 2024 International Conference on Computing and Intelligent Reality Technologies (ICCIRT). IEEE, 2024. https://doi.org/10.1109/iccirt59484.2024.10921944.

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Anggraini, Nenny, Muhammad Zhafran Athofani, Nashrul Hakiem, and Luh Kesuma Whardani. "Automatic KWh Recording Using OCR and Raspberry Pi 3 with Firebase Cloud Database." In 2024 Ninth International Conference on Informatics and Computing (ICIC). IEEE, 2024. https://doi.org/10.1109/icic64337.2024.10956612.

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Mishra, Amit, Dipak Patil, Nikhil Karkhanis, Vaishnavi Gaikar, and Kadambari Wani. "Expression of Concern for: Real time emotion detection from speech using Raspberry Pi 3." In 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET). IEEE, 2017. http://dx.doi.org/10.1109/wispnet40273.2017.10702671.

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Ivković, Jovan, and Biljana Radulović. "The Advantages of Using Raspberry Pi 3 Compared to Raspberry Pi 2 SoC Computers for Sensor System Support." In International conference on Applied Internet and Information Technologies. University "St. Kliment Ohridski" Bitola, Macedonia, 2016. http://dx.doi.org/10.20544/aiit2016.12.

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Anire, Roselle B., Febus Reidj G. Cruz, and Ireneo C. Agulto. "Environmental wireless sensor network using raspberry Pi 3 for greenhouse monitoring system." In 2017 IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM ). IEEE, 2017. http://dx.doi.org/10.1109/hnicem.2017.8269426.

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Turnip, Mardi, Reinhard Tumbur Sitorus, Jeffry Limurty, et al. "Detection of Vehicle Maximum Speed with an Infrared Sensor Based on Raspberry Pi 3 b +." In 2020 3rd International Conference on Mechanical, Electronics, Computer, and Industrial Technology (MECnIT). IEEE, 2020. http://dx.doi.org/10.1109/mecnit48290.2020.9166678.

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Miranto, Husnairi Ardan, Agung Nugroho Jati, and Casi Setianingsih. "Realization of Point Cloud Maps Using ROS & Visual Sensor on Raspberry Pi 3 Based Mobile Robot." In 2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE). IEEE, 2019. http://dx.doi.org/10.1109/icitisee48480.2019.9003953.

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Gebauer, Lucie, Julius Krause, Xiaorong Zheng, et al. "Developing a handheld NIR sensor for the detection of ripening in grapevine." In OCM 2021 - 5th International Conference on Optical Characterization of Materials. KIT Scientific Publishing, 2021. http://dx.doi.org/10.58895/ksp/1000128686-7.

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It has already been proven that near infrared (NIR) reflectance spectroscopy can be used to measure the maturity of grapes by the determination of the sugar and acid content. Until now, winegrowers frequently collect a random one hundred berries sample per plot, to measure these parameters destructively for the estimation of the ideal harvest time of the gained product. Meanwhile, inexpensive sensors are available, to build convenient instruments for the non-destructive, low-priced and fast control of ripening parameters in the vineyard. For this, a small handheld device including a NIR sensor
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Kaluthantri, Shavin Tharinda, Madhavan Shanmugavel, and Raghav Menon. "Low-Cost, Real Time Vehicle Classifcation and Speed Estimation using Raspberry pi 3 Vision Based and Ultra-Sonic Sensor Based Systems." In 2018 IEEE 4th International Symposium in Robotics and Manufacturing Automation (ROMA). IEEE, 2018. http://dx.doi.org/10.1109/roma46407.2018.8986716.

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Wang, Jiasheng, and Yu Sun. "Real-Time Indoor Air Quality Awareness: Lumigen's Integration of Visualization and Sensing Technologies." In 10th International Conference on Computer Science, Engineering and Information Technology. Academy & Industry Research Collaboration Center, 2024. http://dx.doi.org/10.5121/csit.2024.141904.

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Lumigen is an innovative air quality monitoring system designed to enhance indoor environmental awareness using real-time data visualization [1]. The system combines an air quality sensor connected to a Raspberry Pi with a set of Philips Hue lights that change color based on detected air quality levels [2]. This setup provides immediate visual feedback, alerting users to air quality changes without requiring them to check a separate device. Users can interact with Lumigen through a mobile app that facilitates real-time monitoring, historical data analysis, and customization of air quality aler
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Reports on the topic "Raspberry Pi 3 and Sensors"

1

Dhillon, Nathan, Andrew Hannay, and Robin Workman. Next Generation Monitoring Systems. TRL, 2022. http://dx.doi.org/10.58446/npwb2214.

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Survey vehicles, operating at traffic-speed, are deployed across the road network to assess the condition of road pavements. These apply high-quality (and high cost) equipment to measure condition. However, significant progress has been made in the development of low-cost sensors and data collection units that may have potential for application in highways. This project has aimed to understand the capabilities of this emerging technology. The project explores the technologies and combines a Raspberry-Pi based Data Acquisition System, compact camera, GPS, inertial measurement system, Wifi and 4
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2

Videa, Aldo, and Yiyi Wang. Inference of Transit Passenger Counts and Waiting Time Using Wi-Fi Signals. Western Transportation Institute, 2021. http://dx.doi.org/10.15788/1715288737.

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Passenger data such as real-time origin-destination (OD) flows and waiting times are central to planning public transportation services and improving visitor experience. This project explored the use of Internet of Things (IoT) Technology to infer transit ridership and waiting time at bus stops. Specifically, this study explored the use of Raspberry Pi computers, which are small and inexpensive sets of hardware, to scan the Wi-Fi networks of passengers’ smartphones. The process was used to infer passenger counts and obtain information on passenger trajectories based on Global Positioning Syste
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