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Thematische Bibliographien / Raspberry Pi 4 / Zeitschriftenartikel

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Zeitschriftenartikel zum Thema „Raspberry Pi 4“

Autor: Grafiati

Veröffentlicht am 28. Juni 2021

Zuletzt aktualisiert am 12. Juni 2025

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1

Mulyanto, Trio Ade, Mukhtar Habiby, Kusnadi Kusnadi, and Rinaldi Adam. "HOME AUTOMATION SYSTEM DENGAN MENGGUNAKAN RASPBERRY PI 4." Jurnal Digit 11, no. 1 (2021): 60. http://dx.doi.org/10.51920/jd.v11i1.180.

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ABSTRAK  Home automation merupakan salah satu kemajuan teknologi dan komunikasi dengan otomasi kontrol terhadap rumah. Dengan metode ini, perangkat-perangkat elektronik rumah dapat di kontrol mengunakan sistem kendali jarak jauh tanpa harus menyetuh perangkat elektronik yang ada di rumah. Raspberry Pi digunakan sebagai pemroses untuk menciptakan sebuah sistem. Raspberry Pi merupakan mini computer yang fungsi-fungsi dasarnya sama seperti sebuah personal komputer biasa dengan ukuran sebesar kartu kredit. Raspberry Pi dapat mengontrol perangkat-perangkat elektronik yang berada di ruma

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Ganesan, M., R. Hemanth., S. Gunalan., and J. Hemprasad. "Raspberry PI Based Smart Walking Stick." IOP Conference Series: Materials Science and Engineering 981 (December 5, 2020): 042090. http://dx.doi.org/10.1088/1757-899x/981/4/042090.

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Prasath kumar, S., P. Rayavel, N. Anbarasi, B. Renukadevi, and D. Maalini. "Raspberry pi based secured cloud data." Journal of Physics: Conference Series 1964, no. 4 (2021): 042101. http://dx.doi.org/10.1088/1742-6596/1964/4/042101.

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Srivastava, Ankit, Prabhat Singh, Sushil Kumar Verma, Kumar Kartikey, and Prof Shubham Shukla. "Path Planning Robot Using PI-CAM." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (2022): 66–70. http://dx.doi.org/10.22214/ijraset.2022.41133.

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Abstract: Currently, the path planning robot is one among the foremost researched topics in autonomous robotics technology. Path planning has important applications in many areas, for example industrial robotics, autonomous systems, and 3D digital representation that can perform various types of simulations iteratively about product performances. The utilization of versatile robots for modern purposes like arranging, moving, and putting is at this point not an inclination however a need. Our path planning robot is using OpenCV, image processing and various hardware’s such as raspberry pi 4, Ar

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Hermawan, Indra, Defiana Arnaldy, Maria Agustin, M. Farishanif Widyono, David Nathanael, and Meutia Tri Mulyani. "Sistem Pengenalan Benih Padi menggunakan Metode Light Convolutional Neural Network pada Raspberry PI 4 B." Jurnal Teknologi Terpadu 7, no. 2 (2021): 120–26. http://dx.doi.org/10.54914/jtt.v7i2.443.

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Baru-baru ini, metode pembelajaran mendalam dengan Convolution Neural Network (CNN) telah banyak digunakan untuk tugas klasifikasi gambar. CNN memiliki keunggulan yang tak tertandingi dalam mengekstraksi fitur gambar diskriminatif. Namun, banyak metode berbasis CNN yang ada dirancang untuk lebih dalam dan lebih besar dengan lapisan yang lebih kompleks. Sehingga membuatnya sulit untuk diterapkan pada perangkat seluler atau pada perangkat waktu nyata yang menggunakan mikrokontroler seperti raspberry pi, Arduino, dan lain sebagainya. Hal tersebut diatasi dengan menggunakan Light Convolution Neura

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Maragatham, T., P. Balasubramanie, and M. Vivekanandhan. "IoT Based Home Automation System using Raspberry Pi 4." IOP Conference Series: Materials Science and Engineering 1055, no. 1 (2021): 012081. http://dx.doi.org/10.1088/1757-899x/1055/1/012081.

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Prasetya, Aldo Dwi, Muhammad Daffa Raihan Ma'arif, Shania Syaharani, Imam Halimi, and Dezetty Monika. "Smart Mirror Berbasis Raspberry Pi 4 untuk Home Automation." ELECTRICES 3, no. 1 (2021): 34–39. http://dx.doi.org/10.32722/ees.v3i1.4136.

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Smart Mirror merupakan cermin dua arah dengan tampilan elektronik di belakang kaca. Smart Mirror dapat menampilkan berbagai jenis informasi dalam bentuk widget dan akan berguna bagi individu yang ingin melakukan banyak tugas dan tetap mendapat informasi. Alat ini dapat dikontrol dengan voice command atau dengan berupa sentuhan pada IR Frame untuk mengaktifkan voice detector. Untuk mengetahui apakah alat ini berfungsi dilakukan metode pengujian dengan melihat sistem dan proses secara keseluruhan pada alat dimulai dari tampilan grafis Smart Mirror, fungsi sensor pendukung, fungsi komponen, dan f

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Budiyanta, Nova Eka, Catherine Olivia Sereati, and Ferry Rippun Gideon Manalu. "Processing time increasement of non-rice object detection based on YOLOv3-tiny using Movidius NCS 2 on Raspberry Pi." Bulletin of Electrical Engineering and Informatics 11, no. 2 (2022): 1056–61. http://dx.doi.org/10.11591/eei.v11i2.3483.

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This study aims to increase the processing time of detecting non-rice objects based on the you only look once v3-tiny (YOLOv3-tiny) model. The system was developed on the Raspberry Pi 4 embedded system with the Movidius neural compute stick 2 (NCS 2) implementation approach. Data object in the form of gravel on a bunch of rice in the video. The video data was obtained using a webcam with a resolution of 1920 x 1080 pixels with a total of 2759 frames. From the test results, frames per second (FPS) have increased by 1.27x in the Movidius NCS 2 implementation compared to processing using the cent

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Hadiwandra, T. Yudi, and Feri Candra. "High Availability Server Using Raspberry Pi 4 Cluster and Docker Swarm." IT Journal Research and Development 6, no. 1 (2021): 43–51. http://dx.doi.org/10.25299/itjrd.2021.vol6(1).5806.

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In the Industrial 4.0 era, almost all activities and transactions are carried out via the internet, which basically uses web technology. For this reason, it is absolutely necessary to have a high-performance web server infrastructure capable of serving all the activities and transactions required by users without any constraints. This research aims to design a high-performance (high availability) web server infrastructure with low cost (low cost) and energy efficiency. low power) using Cluster Computing technology on the Raspberry Pi Single Board Computing and Docker Container technology. The

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ANDRIOAIA, DRAGOS-ALEXANDRU, GEORGE CULEA, and PETRU-GABRIEL PUIU. "ENVIRONMENTAL TEMPERATURE AND HUMIDITY MONITORING SYSTEM USING RASPBERRY PI 4 AND THINGSPEACK." Journal of Engineering Studies and Research 27, no. 3 (2022): 20–23. http://dx.doi.org/10.29081/jesr.v27i3.283.

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In recent years, IoT platforms have become increasingly used due to their untapped potential. This paper aims to create an IoT system to monitor temperature and humidity in an enclosure The Raspberry Pi 4 SBC (Single-Board Computer) development board and ThingSpeak cloud platform will be used to make this system. Data from the DHT11 humidity and temperature sensor will be collected by the Raspberry PI 4 SBC development board, which will transmit it via the WiFi connection to the IoT ThingSpeak platform cloud for further analysis. The IoT ThingSpeak platform provides data storage, processing an

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M. Hodgess, Erin. "High Performance Computing on the Raspberry PI." International Journal of Computational Science and Information Technology 10, no. 1 (2022): 1–5. http://dx.doi.org/10.5121/ijcsity.2022.10101.

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We considered building high performance tools on the Raspberry Pi 4. We implemented OpenMP and OpenCoarrays Fortran in conjunction with the statistical language R. We found that the OpenCoarrays is more effective when working with vectors, while OpenMP is better in the arena with large matrices in a geostatistics application. These results can be very useful for researchers with limited access to high performance tools or limited funding.

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Feng, Xiangsheng. "Gesture Recognition Control System Based on Raspberry PI." Journal of Physics: Conference Series 1744, no. 4 (2021): 042019. http://dx.doi.org/10.1088/1742-6596/1744/4/042019.

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Indra, Dolly, Tasmil Tasmil, Herman Herman, St Hajrah Mansyur, and Erick Irawadi Alwi. "DESIGN WEB-BASED ELECTRICAL CONTROL SYSTEM USING RASPBERRY PI." Journal of Information Technology and Its Utilization 2, no. 1 (2019): 1. http://dx.doi.org/10.30818/jitu.2.1.2275.

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The use of current website technology can be applied as a control and monitoring system, which is used to control electrical devices, so that the user can only control the PC or smartphone that has been connected to Wi-Fi or the Internet. In this case the control uses the Raspberry Pi Mini PC which has several advantages such as low power and is relatively easy when connected with a web server compared to a microcontroller. By utilizing the Raspberry Pi Mini PC as a web server, it can replace PC functions in general. The results in this study are the Electric Control System that has been made

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Ospanova, A., and B. Tuleuov. "Perspectives of use of microcomputer Raspberry Pi in effective Kazakhstan digitalization." BULLETIN of the L.N. Gumilyov Eurasian National University. MATHEMATICS.COMPUTER SCIENCE. MECHANICS Series 125, no. 4 (2018): 95–107. http://dx.doi.org/10.32523/2616-7182-2018-125-4-95-107.

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Novikov, D. V., A. S. Stankevich, E. G. Silkis, A. M. Torubarov, and G. A. Perepelkin. "THE MORS-4 SPECTRA RECORDING SYSTEM WITH THE RASPBERRY PI 3 MODEL B MICROCOMPUTER." NAUCHNOE PRIBOROSTROENIE 28, no. 3 (2018): 24–28. http://dx.doi.org/10.18358/np-28-3-i2428.

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Ramadhan, Lies Teddy Galang, Florentinus Budi Setiawan, Slamet Riyadi, and Leonardus Heru Pratomo. "Implementasi Object Tracking untuk Deteksi Titik Laser Menggunakan Raspberry Pi 4." SISTEMASI 10, no. 2 (2021): 423. http://dx.doi.org/10.32520/stmsi.v10i2.1288.

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Chlastawa, Łukasz. "Mobile image processing system based on the Raspberry Pi 4 platform." Science, Technology and Innovation 12, no. 1 (2021): 16–25. http://dx.doi.org/10.5604/01.3001.0015.2458.

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The article presents an image processing system based on the Raspberry Pi (RPi) platform. At the beginning of the article, the basic assumptions and purpose of the system are discussed. The following section presents the structure and operation of the system. The window application managing the system and allowing to perform contextual and spectral transformations on images as well as the measurement of parameters such as image processing time and mean square error (MSE) was discussed. The transformations performed were based both on ready formulas contained in the OpenCV library and the autho

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Aravinda, N. L., Mohammad Jabirullah, and DubasiKirtana. "An Intelligent helmet system using IoT and Raspberry Pi." IOP Conference Series: Materials Science and Engineering 981 (December 5, 2020): 042076. http://dx.doi.org/10.1088/1757-899x/981/4/042076.

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Libertin, Donalson. "Sistem Pemantauan Ruangan Laboratorium Dengan Raspberry Pi Camera." ELECTRICES 2, no. 1 (2020): 11–16. http://dx.doi.org/10.32722/ees.v2i1.1960.

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In the Electrical Engineering Laboratory 2nd Floor room, there is a variety of equipment, but the equipment is often lost. So the room needed a monitoring system to see the activity in the room to minimize theft. The purpose of this study is to design a monitoring system using Raspberry Pi Zero W as a link between the Raspberry Pi Camera and the admin. Room conditions can be monitored online and in realtime on the Web. Based on the results of testing video streaming displayed on the Web, there is a delay of 3-4 seconds so that the image moves slower than the actual situation. This device can s

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Hartono, Hana Via Eka Amalia, Martono Dwi Atmadja, and M. Abdullah Anshori. "Perbandingan Performansi Mini PC 1.2 GHz dan 1.5 GHz sebagai Server Layanan Video Call menggunakan Codec H264." Jurnal Jartel: Jurnal Jaringan Telekomunikasi 10, no. 2 (2020): 118–23. http://dx.doi.org/10.33795/jartel.v10i2.93.

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Permasalahan yang ada pada server untuk layanan video call yaitu penggunaan server biasanya menggunakan PC yang telah terinstall FreePBX dan diperlukan beberapa perangkat keras yang harus disediakan seperti CPU dengan spesifikasi memory yang digunakan 312 MB, CPU 800 MHz Pentium III. Terdapat alternatif untuk membangun server dengan spesifikasi yang lebih baik dari CPU Konvensional dalam menunjang layanan video call dengan menggunakan Mini PC. Salah satu jenis Mini PC yang populer yaitu Raspberry Pi. Berdasarkan hasil penelitian perbandingan dua server Mini PC mampu melayani kapasitas pelangga

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Swapna, V., and R. Dr Arun Prasath. "RF-Automatic Traffic Clearance System for Ambulance using Raspberry Pi." IOP Conference Series: Materials Science and Engineering 981 (December 5, 2020): 042006. http://dx.doi.org/10.1088/1757-899x/981/4/042006.

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Subramanya Chari, K., Maturi Thirupathi, and Ch Hariveena. "IoT-based Flood Monitoring and Alerting System using Raspberry Pi." IOP Conference Series: Materials Science and Engineering 981 (December 5, 2020): 042078. http://dx.doi.org/10.1088/1757-899x/981/4/042078.

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Rakesh, Pasuladi, and I. V. Mr Prakash. "Raspberry Pi based E–Health System over Internet of Things." IOP Conference Series: Materials Science and Engineering 981 (December 5, 2020): 042008. http://dx.doi.org/10.1088/1757-899x/981/4/042008.

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Radhika, Kashaboina, and Ramasamy Dr Velmani. "Bluetooth and GSM based Smart Security System using Raspberry Pi." IOP Conference Series: Materials Science and Engineering 981 (December 5, 2020): 042009. http://dx.doi.org/10.1088/1757-899x/981/4/042009.

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Abadi, S. C., M. Eriyadi, D. Usman, Y. M. Hamdani, and A. Suryadi. "Raspberry Pi based SCADA system using Codesys for workshop facilities." IOP Conference Series: Materials Science and Engineering 1098, no. 4 (2021): 042076. http://dx.doi.org/10.1088/1757-899x/1098/4/042076.

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Latifah, A., W. Ramdhani, M. R. Nasrulloh, and R. Elsen. "Ultrasonic sensor for monitoring corn growth based on Raspberry Pi." IOP Conference Series: Materials Science and Engineering 1098, no. 4 (2021): 042087. http://dx.doi.org/10.1088/1757-899x/1098/4/042087.

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Atiqur, Rahman, and Yun Li. "Automated smart car parking system using raspberry Pi 4 and iOS application." International Journal of Reconfigurable and Embedded Systems (IJRES) 9, no. 3 (2020): 229. http://dx.doi.org/10.11591/ijres.v9.i3.pp229-234.

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In interconnection and automation of different physical gadgets, vehicles, home machines and different things, the internet of things (IoT) innovation plays a critical role.These objects associate and deal information with the assistance of software, different sensors, and actuators. A human's standard of life and living are improved with this automation of gadgets, which is a forthcoming need. In this paper we talked about a similar requirement for instance, a smart car parking system which empowers a driver to discover a parking area and a free slot in that parking area inside a city. This p

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Sagala, Albert, Deni Parlindungan Lumbantoruan, Epelin Manurung, Iroma Situmorang, and Adi Gunawan. "Secured Communication Among HMI and Controller using RC-4 Algorithmand Raspberry Pi." TELKOMNIKA Indonesian Journal of Electrical Engineering 15, no. 3 (2015): 526. http://dx.doi.org/10.11591/tijee.v15i3.1571.

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In the beginning the implementation of a plant with SCADA technology, the network is formed isolated from the outside network (LAN or Internet). So it can be ascertained that the communication that occurs on the SCADA network is safe from the threat of crackers. In fact, SCADA network allows it to be connected to the Internet, so that the data of the plant can be monitored via the Internet, so the information about the state of the plant can be monitored in realtime and can be taken quickly if it is known there are anomalies on the control system. In the research we designed a method of encryp

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Pramudya Istiqfariandi, Dewa, Gunawan Gunawan, Alifia Azzahra, Krisna Krisna, and Mumtaz Rahmawan. "Pengembangan Visibel yang Mampu Membantu Penyandang Tunanetra Melaksanakan Kegiatan." Jurnal Health Sains 2, no. 10 (2021): 1858–69. http://dx.doi.org/10.46799/jsa.v2i10.316.

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Indera penglihatan menjadi salah satu komponen paling penting pada tubuh yang dapat mengatur setiap kegiatan yang akan dijalankan seseorang secara tepat dan cepat. Namun sayangnya, tidak semua orang memiliki kesempatan untuk memiliki anggota tubuh yang lengkap, termasuk juga pada penglihatannya. artikel ini menyajikan desain baru kacamata pintar bantu untuk siswa tunanetra. Tujuannya adalah untuk membantu dalam beberapa tugas sehari-hari menggunakan keunggulan format desain yang dapat dikenakan. Sebagai pembuktian konsep, artikel ini hanya menyajikan satu contoh aplikasi, yaitu teknologi penge

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Pratama, Septian Angga. "REALISASI ALAT UKUR SUHU DAN KELEMBABAN BERBASIS RASPBERRY PI." JTT (Jurnal Teknologi Terpadu) 7, no. 1 (2019): 62–65. http://dx.doi.org/10.32487/jtt.v7i1.636.

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Suhu dan kelembapan merupakan salah satu parameter yang paling sering diukur. Pengukuran terhadap parameter suhu dan kelembapan sangat berguna untuk mempelajari sebuah proses fisika, kimia, atau, biologi. Pada beberapa dekade terakhir, pemanasan global atau global warming menjadi isu global terkait lingkungan hidup dimana pencemaran dan kerusakan terhadap lingkungan menjadi faktor penyebab tingginya suhu bumi. Oleh karena itu fokus utama penelitian ini adalah mengenai pengukuran suhu dan kelembapan udara pada suatu ruangan dengan dimensi 15 x 10 m apakah perlu dengan adanya tambahan pendingin

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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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Tarek, Hesham, Hesham Aly, Saleh Eisa, and Mohamed Abul-Soud. "Optimized Deep Learning Algorithms for Tomato Leaf Disease Detection with Hardware Deployment." Electronics 11, no. 1 (2022): 140. http://dx.doi.org/10.3390/electronics11010140.

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Smart agriculture has taken more attention during the last decade due to the bio-hazards of climate change impacts, extreme weather events, population explosion, food security demands and natural resources shortage. The Egyptian government has taken initiative in dealing with plants diseases especially tomato which is one of the most important vegetable crops worldwide that are affected by many diseases causing high yield loss. Deep learning techniques have become the main focus in the direction of identifying tomato leaf diseases. This study evaluated different deep learning models pre-traine

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Et.al, Teddy Surya Gunawan. "Development of Digital Signage for Primary School using Raspberry Pi." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (2021): 1394–99. http://dx.doi.org/10.17762/turcomat.v12i3.911.

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Nowadays, digital signage is a modern advertisement alternative that took over billboards and other traditional advertisements. In the context of education, digital signage provides students, teachers, and parents with an effective way of communication. This research proposed designing and developing low-cost digital signage using Raspberry Pi to be stationed at primary school. An LCD monitor and Raspberry Pi 4 single-board computer were utilized to display various informative content, such as examination date, daily schedule, and other announcements. Two methods were proposed, including Scree

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Nirosha, G., and Ramasamy Dr Velmani. "Raspberry Pi based Sign to Speech Conversion System for Mute Community." IOP Conference Series: Materials Science and Engineering 981 (December 5, 2020): 042005. http://dx.doi.org/10.1088/1757-899x/981/4/042005.

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Pamulaparthy, Manogna, and K. Jeevana Jyothi. "Autonomous Smart Energy Meter over Internet of Things using Raspberry Pi." IOP Conference Series: Materials Science and Engineering 981 (December 5, 2020): 042012. http://dx.doi.org/10.1088/1757-899x/981/4/042012.

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Jabirullah, Mohammad, M. Amru, and D. Raviteja. "IoT based Child Safety Management using Raspberry Pi and RFID Technology." IOP Conference Series: Materials Science and Engineering 981 (December 5, 2020): 042079. http://dx.doi.org/10.1088/1757-899x/981/4/042079.

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Amru, M., Allam Venkata Naga Mahesh, and Potharaju Ramesh. "IoT-based Health Monitoring System with Medicine Remainder using Raspberry Pi." IOP Conference Series: Materials Science and Engineering 981 (December 5, 2020): 042081. http://dx.doi.org/10.1088/1757-899x/981/4/042081.

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Shalini, Ch, and I. V. Mr Prakash. "Iot based Industrial Sensor Monitoring and Alerting System using Raspberry Pi." IOP Conference Series: Materials Science and Engineering 981 (December 5, 2020): 042010. http://dx.doi.org/10.1088/1757-899x/981/4/042010.

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Wisnudhanti, Kartika, and Feri Candra. "Image Classification of Pandawa Figures Using Convolutional Neural Network on Raspberry Pi 4." Journal of Physics: Conference Series 1655 (October 2020): 012103. http://dx.doi.org/10.1088/1742-6596/1655/1/012103.

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S, Priyadharshini, Natarajan S, and Kavitha S. "USB Device Driver Development of Image Processing Using Raspberry Pi 4 via Thingspeak." International Journal of Electronics and Communication Engineering 8, no. 6 (2021): 1–3. http://dx.doi.org/10.14445/23488549/ijece-v8i6p101.

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YOSHIGA, Kousuke, Nobuyasu TOMOKUNI, and Noriho KOYACHI. "Measuring the environment with a depth camera using Raspberry Pi 4 and ROS2." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2021 (2021): 1P2—G02. http://dx.doi.org/10.1299/jsmermd.2021.1p2-g02.

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Gunawan, Muhammad Agung, Suko Wiyanto, and Fajar Kholid. "PENERAPAN METODE BACK PROPAGATION PADA RASPBERRY PI 4 UNTUK MENGENAL SUARA TEMBAKAN SENJATA RINGAN SS2- V1." Jurnal Elkasista 2, Mei (2021): 34–39. http://dx.doi.org/10.54317/elka.v2imei.158.

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Perkembangan ilmu pengetahuan dan teknologi saat ini telah mengalami kemajuan pesat yang berpengaruhi terhadap kemajuan sistem pertahanan termasuk dalam sistem operasional di satuan TNI-AD. Penggunaan sistem pertahanan senjata biasanya digunakan untuk mendeteksi sumber suara letusan atau tembakan. Penerapan metode back propagation pada raspberry dengan menggunakan sensor microphone boya diharapkan mampu membantu personel yang bertugas untuk mendeteksi sumber suara letusan tembakan. Sensor merupakan alat yang berfungsi untuk mendeteksi adanya perubahan lingkungan secara fisik yang digunakan unt

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Meivel, S., Nidhi Sindhwani, Rohit Anand, et al. "Mask Detection and Social Distance Identification Using Internet of Things and Faster R-CNN Algorithm." Computational Intelligence and Neuroscience 2022 (February 1, 2022): 1–13. http://dx.doi.org/10.1155/2022/2103975.

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The drones can be used to detect a group of people who are unmasked and do not maintain social distance. In this paper, a deep learning-enabled drone is designed for mask detection and social distance monitoring. A drone is one of the unmanned systems that can be automated. This system mainly focuses on Industrial Internet of Things (IIoT) monitoring using Raspberry Pi 4. This drone automation system sends alerts to the people via speaker for maintaining the social distance. This system captures images and detects unmasked persons using faster regions with convolutional neural network (faster

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Chen, Pei-Jarn, Tian-Hao Hu, and Ming-Shyan Wang. "Raspberry Pi-Based Sleep Posture Recognition System Using AIoT Technique." Healthcare 10, no. 3 (2022): 513. http://dx.doi.org/10.3390/healthcare10030513.

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The relationship between sleep posture and sleep quality has been studied comprehensively. Over 70% of chronic diseases are highly correlated with sleep problems. However, sleep posture monitoring requires professional devices and trained nursing staff in a medical center. This paper proposes a contactless sleep-monitoring Internet of Things (IoT) system that is equipped with a Raspberry Pi 4 Model B; radio-frequency identification (RFID) tags are embedded in bed sheets as part of a low-cost and low-power microsystem. Random forest classification (RFC) is used to recognize sleep postures, whic

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Rodríguez-Orozco, Eduardo, Enrique García-Guerrero, Everardo Inzunza-Gonzalez, et al. "FPGA-based Chaotic Cryptosystem by Using Voice Recognition as Access Key." Electronics 7, no. 12 (2018): 414. http://dx.doi.org/10.3390/electronics7120414.

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A new embedded chaotic cryptosystem is introduced herein with the aim to encrypt digital images and performing speech recognition as an external access key. The proposed cryptosystem consists of three technologies: (i) a Spartan 3E-1600 FPGA from Xilinx; (ii) a 64-bit Raspberry Pi 3 single board computer; and (iii) a voice recognition chip manufactured by Sunplus. The cryptosystem operates with four embedded algorithms: (1) a graphical user interface developed in Python language for the Raspberry Pi platform, which allows friendly management of the system; (2) an internal control entity that e

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Florentinus Budi Setiawan, Franciska Amalia Kurnianingsih, Slamet Riyadi, and Leonardus Heru Pratomo. "Pattern Recognition untuk Deteksi Posisi pada AGV Berbasis Raspberry Pi." Jurnal Nasional Teknik Elektro dan Teknologi Informasi 10, no. 1 (2021): 49–56. http://dx.doi.org/10.22146/jnteti.v10i1.738.

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Perkembangan teknologi di bidang otomatisasi dan robotika berkembang sangat pesat, karena memiliki tingkat efesiensi tinggi dari segi tenaga dan waktu. Pada sistem pergudangan, salah satu robot yang digunakan adalah Automated Guided Vehicle (AGV). AGV adalah alat transportasi berupa robot yang dikendalikan secara otomatis, yang berfungsi sebagai pengangkut barang, dengan menggunakan sistem navigasi agar bergerak ke arah yang telah ditentukan. Salah satu sistem navigasi AGV yang telah ada ialah dengan mengikuti pola garis pada lantai. Sistem tersebut kurang efisien karena lambat laun pola garis

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Barida Baah, Onate Egerton Taylor, and Chioma Lizzy Nwagbo. "A novel approach for federated machine learning using Raspberry Pi." Global Journal of Engineering and Technology Advances 6, no. 3 (2021): 063–68. http://dx.doi.org/10.30574/gjeta.2021.6.3.0042.

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The problems of privacy and security is becoming a major challenge when it comes to the distributed systems, federated machine learning system especially when data are been transmitted or learned on a network , this necessitated the reasons for this research work which is all about wireless federated machine learning process using a Raspberry Pi. The Raspberry Pi 4 is a single hardware board with built in Linux operating system. We used data set of names from nine (9) different languages and then develop a training model using recurrent neural network to train this names compare to the names i

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Ya Suranov, A. "Raspberry Pi-based mobile system of the pupil size evaluation." Journal of Physics: Conference Series 2142, no. 1 (2021): 012021. http://dx.doi.org/10.1088/1742-6596/2142/1/012021.

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Abstract The article considers development of a human pupil measuring system on the Raspberry platform. The system is aimed at evaluating the variations of the human pupil diameter or area in the process of watching test images or video recordings. To reduce the interference from the eye surface the camera uses a band-stop color glass filter PS 13. In order to increase the pupil image contrast, IR LED backlighting of the eye is implemented. To provide the mobility of the system, battery power of the single-board computer was used while the registered image and the measurement results were tran

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Abdul Hadi, Muhammad, Rian Ferdian, and Lathifah Arief. "Klasifikasi Tingkat Ancaman Kriminalitas Bersenjata Menggunakan Metode You Only Look Once (YOLO)." CHIPSET 2, no. 01 (2021): 33–40. http://dx.doi.org/10.25077/chipset.2.01.33-40.2021.

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The research aim to recognize potential weapon threats through object detection on camera. This research utilize YOLO (You Only Look Once) method in object detection which implemented on Raspberry Pi 4. The process was by detecting object from the camera and classify the object class in 2 available classes : Gun and Knife. Meanwhile, in the classifying process, it also count the object in every classes. When the system detect object in the process, it will send notification in terms of threat level through android application so that the user or operator can mitigate the threat immediately. Fr

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A., Shevchenko, and Puzyrov S. "DEVELOPMENT OF THE HARDWARE AND SOFTWARE PLATFORM FOR MODERN IOT SOLUTIONS BASED ON FOG COMPUTING USING CLOUD-NATIVE TECHNOLOGIES." Computer systems and network 2, no. 1 (2017): 102–12. http://dx.doi.org/10.23939/csn2020.01.102.

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The concept of digital transformation is very relevant at the moment due to the epidemiological situation and the transition of the world to the digital environment. IoT is one of the main drivers of digital transformation. The Internet of Things (IoT) is an extension of the Internet, which consists of sensors, controllers, and other various devices, the so-called "things," that communicate with each other over the network. In this paper, the development of hardware and software for the organization of fog and edge computing was divided into three levels: hardware, orchestration, application.

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