Relevant bibliographies by topics / ESP32-CAM

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'ESP32-CAM'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 June 2025

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Journal articles on the topic "ESP32-CAM"

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Arrahma, Salsabila Alnitri, and Riki Mukhaiyar. "Pengujian Esp32-Cam Berbasis Mikrokontroler ESP32." JTEIN: Jurnal Teknik Elektro Indonesia 4, no. 1 (2023): 60–66. https://doi.org/10.24036/jtein.v4i1.347.

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Penelitian ini menyajikan halaman web yang berisi video tangkapan dari kamera. Dimana kamera yang digunakan pada penelitian ini adalah modul kamera mikrokontroler Esp32. Pengontrolan kamera Esp32 digunakan controller berupa NodeMCU Esp32. Penelitian ini dilakukan untuk menguji kemampuan kamera Esp32 dalam mendeteksi suatu objek. Kamera Esp32 dan NodeMCU Esp32 diprogram menggunakan editor Arduino IDE. Hasil pengujian yang dihasilkan berupa tampilan video pada halaman web, dimana alamat web didapatkan dari serial monitor pada editor Arduino IDE. Untuk mengakses halaman web menggunakan jaringan wireless yang sama dengan jaringan yang digunakan pada NodeMCU Esp32, halaman web hanya dapat diakses oleh satu orang. Selama proses pengujian dilakukan dengan memberi variasi jarak antara objek dan kamera kemudian diberi suatu objek penghalang atau objek pengganggu. Dari hasil pengujian didapatkan bahwa kamera dapat mendeteksi objek dengan jarak paling jauh 150 cm dalam pengujian yang dilakukan, sedangkan saat objek sekitar 30 cm didepan kamera, didapat hasil pada tampilan video bahwa objek tidak dapat terdeteksi.
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ห้วยหงส์ทอง, อินทิพร, วิภาวี ร่ารื่น, เจษฎา สายใจ та ศศิรมย์ พานทอง. "ระบบกล้องรักษาความปลอดภัยพร้อมแจ้งเตือนผ่านเทเลแกรม". วารสารงานวิจัยและพัฒนาเชิงประยุกต์ โดยสมาคม ECTI 3, № 2 (2023): 36–43. http://dx.doi.org/10.37936/ectiard.2023-3-2.249616.

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เนื่องด้วยกล้องรักษาความปลอดภัยในปัจจุบันมีราคาที่สูง บทความนี้จึงนำเสนอระบบกล้องรักษาความปลอดภัยพร้อมแจ้งเตือนแบบเวลาจริงโดย บอร์ด ESP32-CAM ทำงานร่วมกับเซ็นเซอร์ตรวจจับความเคลื่อนไหว ซึ่งมีขนาดเล็ก และราคาต้นทุนต่ำ บอร์ด ESP32-CAM จะตรวจจับใบหน้า และนำไปเปรียบเทียบในฐานข้อมูล เมื่อพบว่ามีผู้บุกรุก ระบบจะแจ้งเตือนผ่านทางเทเลแกรม และสำรองข้อมูลไปยังคลาวน์ ผลการทดสอบระบบพบว่าระยะห่างจากบอร์ด ESP32-CAM มากขึ้นเวลาที่ใช้ในการจับภาพจะมากขึ้นตาม อีกทั้งพบว่าระยะมากกว่า 3 เมตรขึ้นไป ระบบจะไม่สามารถตรวจจับการเคลื่อนไหวได้ และถ้าต้องการความเสถียรในการใช้งาน ต้องติดตั้งระบบกล้องรักษาความปลอดภัยในพื้นที่ที่มีสัญญาณอินเตอร์เน็ตตลอดเวลา
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Pratama, Diki Anugrah, and Muhamad Bahrul Ulum. "RANCANG BANGUN SISTEM KEAMANAN RUMAH DENGAN FACE RECOGNITION BERBASIS ESP32-CAM." Jurnal Komputasi 12, no. 1 (2024): 70–78. http://dx.doi.org/10.23960/komputasi.v12i1.241.

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Crimes and criminal activities continue to occur relentlessly. Criminal actions violate the laws of the state, religious norms, and social standards, resulting in economic and psychological losses. This research proposes the design of a Face Recognition-based security system using ESP32-CAM. This system functions as a facial recognition device and performs facial data verification stored on the ESP32-CAM microcontroller [1]. The system is capable of detecting verified faces and issuing warnings if an unknown face is detected by the ESP32-CAM microcontroller device. The design of this security system utilizes the ESP32-CAM as the microcontroller, an OV2640 camera, and a USB to TTL connection for linking the ESP32-CAM to the computer via the USB port. The design and creation of this device are implemented through the Arduino IDE program and displayed via the WebSocket Arduino ESP32-CAM [2].
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Agustine Cahyaningtyas, Ine, Arnisa Stefanie, and Ibrahim Ibrahim. "IMPLEMENTASI ESP32 CAM DAN KODULAR BERBASIS ANDROID UNTUK MONITORING SMART GARDEN." JATI (Jurnal Mahasiswa Teknik Informatika) 7, no. 4 (2024): 2512–18. http://dx.doi.org/10.36040/jati.v7i4.7121.

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Penelitian ini bertujuan untuk mengimplementasikan alat monitoring smart garden menggunakan perangkat ESP32 Cam dan platform Kodular berbasis Android. Smart garden atau kebun pintar adalah konsep gabungan antara teknologi dan pertanian, yang memanfaatkan teknologi untuk mengontrol dan memantau pertumbuhan tanaman. Metode perancangan alat ini melibatkan penggunaan ESP32 Cam untuk merekam video secara real time dan mengirimkannya melalui jaringan WiFi. Platform Kodular digunakan untuk membuat aplikasi Android yang memungkinkan pengguna memonitor tanaman melalui live streaming video dari ESP32 Cam. Hasil pengujian menunjukan bahwa sistem monitoring smart garden menggunakan ESP32 Cam dan Kodular berhasil berjalan dengan baik. Fitur live streaming video dari ESP32 Cam dapat diakses melalui aplikasi Android yang dibuat dengan kodular. Pembudidaya dapat memantau pertumbuhan tanaman secara real time.
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Kumar, B. Ashwin. "Robot Vehicle with ESP32 CAM." International Journal for Research in Applied Science and Engineering Technology 12, no. 8 (2024): 1028–31. http://dx.doi.org/10.22214/ijraset.2024.64054.

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Abstract: A surveillance robot equipped with ESP32-CAM is a setup that assembles a portable surveillance gadget from a robot frame and the ESP32-CAM board. The ESP32-CAM board is an affordable development platform featuring an integrated camera and Wi-Fi capabilities. This robot is capable of navigating and capturing video footage across various settings due to its frame. The gadget can be operated through a web-based interface on the ESP32-CAM board. Through this interface, users can direct the robot's movements, view real-time video feeds, and capture video snapshots. Moreover, the system can be configured to alert the user whenever it detects movement through computer vision methods such as tracking and identifying objects. This ESP32-CAM surveillance robot finds applications in home security, monitoring from afar, and industrial surveillance. Its low cost and user-friendly interface make it an attractive choice for those looking to remotely oversee their surroundings.
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Agus, Pradhana, and Oriza Candra. "Sistem Keamanan Parkiran Menggunakan QR-Code dan Output Suara Berbasis IoT (Internet Of Things)." JTEIN: Jurnal Teknik Elektro Indonesia 4, no. 2 (2023): 1049–56. http://dx.doi.org/10.24036/jtein.v4i2.561.

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Pada jaman sekarang ini teknologi dapat digunakan bukan hanya untuk mempermudah pekerjaan perusahaan saja akan tetapi teknologi juga bisa dipergunakan untuk membantu pekerja lapangan seperti sistem parkir. Oleh karena itu dibuatkan sebuah alat yang bertujuan untuk dapat merancang dan membuat sistem keamanan parkiran menggunakan barcode melalui ESP32-Cam dengan output motor power servo dan DFPlayermini melalui Mikrokontroller ESP32. Metode sistem keamanan parkiran menggunakan barcode melalui ESP32-Cam dengan output motor servo dan DFPlayermini melalui Mikrokontroller ESP32 diaktifkan melalui Wi-Fi menggunakan inputan pembacaan ESP32-Cam berupa QRCode berupa data realtime yang aktif dan jika Barcode terdaftar maka akan mengkatifkan motor servo untuk membuka dan menutup palang parkiran yang setelah itu dikirimkan datanya menuju tampilan WEB serta suara dari DFPlayer Mini melalui speaker. Setelah melakukan pengujian dan analisa terhadap sistem keamanan parkiran menggunakan barcode melalui ESP32-Cam dengan output motor servo dan DFPlayermini melalui Mikrokontroller ESP32 dapat diambil kesimpulan bahwa sistem keamanan parkiran menggunakan QRCode telah dapat bekerja dengan baik sesuai dengan rancangan prinsip kerja dan hasil yang dicapai sesuai fungsi serta kerja alat.
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Silalahi, Lukman Medriavin, Imelda Uli Vistalina Simanjuntak, Retno Bangun Rizki, and Nuralia Fajri. "Penerapan Metode Haar Cascade terhadap Objek Botol menggunakan ESP32-Cam." Jurnal Pendidikan dan Teknologi Indonesia 4, no. 6 (2024): 269–76. https://doi.org/10.52436/1.jpti.457.

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Riset ini mengeksplorasi metode Haar Cascade untuk deteksi objek yang berfokus pada identifikasi botol menggunakan modul ESP32-Cam. Riset ini secara bertahap mengumpulkan dataset objek gambar botol yang beragam untuk melatih Haar Cascade. Kemudian, proses pelatihan menggunakan machine learning dan algoritma Haar Cascade untuk mengidentifikasi objek botol hingga akhirnya diimplementasikan pada perangkat ESP32-Cam. Hipotesis penelitian ini melibatkan integrasi mesin konveyor beserta komponen pendukung yaitu sensor infrared, buzzer, LED, relay, dan LM2596. Tujuan dari riset ini adalah menerapkan prinsip kerja sistem deteksi objek pada botol yang secara otomatis mendeteksi keberadaan botol dalam gambar atau video menggunakan ESP32-Cam sebagai papan mikrokontroler dan metode Haar Cascade sebagai algoritma pengenalan objek yang diintegrasi ke mesin konveyor. Akhrnya, riset ini menyimpulkan bahwa hasil perancangan dan pengujian implementasi metode Haar Cascade menggunakan ESP32-Cam telah berhasil dan berfungsi optimal. Hasil pengujian diperoleh bahwa ESP32-Cam mampu mendeteksi objek botol pada rentang 16 hingga 22 detik dengan akurasi rata rata 75% pada botol kaca dan 78% untuk botol berbahan plastik. Selanjutnya, ketika ESP32-Cam dihalang oleh kaca film diperoleh hasil akurasi rata-rata 44% pada botol kaca dan 77% pada botol plastik. Berdasarkan pengujian sistem keseluruhaan diperoleh bahwa purwarupa ini hanya akan mendeteksi botol dengan mengeneralisasi botol dalam bentuk dimensi ukuran yang berbeda-beda.
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N. S., Dr Ambadkar,. "IOT BASED VEHICLE THEFT DETECTION AND ENGINE LOOKING SYSTEM." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem30668.

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The advancement of smart home technology has revolutionized traditional security measures, offering more efficient and convenient solutions for safeguarding homes and properties. In this project, we propose a smart door lock system that integrates Passive Infrared (PIR) motion detection, a solenoid-based locking mechanism, and an ESP32 Cam module for intruder capturing and remote monitoring. The core components of the system include a PIR sensor, which detects motion in the vicinity of the door, and a solenoid actuator, which controls the locking and unlocking of the door. The ESP32 Cam module serves as the central processing unit, responsible for coordinating the operation of the components and capturing images or videos of intruders. Upon detecting motion, the PIR sensor triggers the ESP32 Cam module to activate the solenoid, thereby locking the door to prevent unauthorized access. Simultaneously, the ESP32 Cam captures images or videos of the intruder using its built-in camera and stores the evidence locally or transmits it to a designated mobile device. Keywords: Biometric access control, Motion detection, Intruder detection, PIR sensor, ESP32 Cam, Smartphone app control, Solenoid actuator
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GHIFARI, HUMMAM GHASSAN, DENNY DARLIS, and ARIS HARTAMAN. "Pendeteksi Golongan Darah Manusia Berbasis Tensorflow menggunakan ESP32-CAM." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 9, no. 2 (2021): 359. http://dx.doi.org/10.26760/elkomika.v9i2.359.

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ABSTRAKPendeteksian golongan darah dilakukan untuk mengetahui golongan darah yang dimiliki. Hingga saat ini pendeteksian golongan darah masih dilakukan oleh petugas analis kesehatan menggunakan kemampuan mata manusia. Pada penelitian ini dilakukan perancangan alat pendeteksi golongan darah menggunakan ESP32-CAM. Alat ini menggunakan kamera OV2640 untuk menangkap citra, yang diproses menggunakan Tensorflow Object Detection API sebagai framework untuk melatih serta mengolah citra darah. Model latih akan digunakan pada kondisi pendeteksian langsung dan ditampilkan dalam bentuk jendela program golongan darah beserta tingkat akurasinya. Dalam penelitian ini pengujian dilakukan menggunakan 20 dataset dengan jarak pengukuran antara ESP32-CAM dengan citra golongan darah yaitu sejauh 20 cm. Hasil yang didapat selama pengujian mayoritas golongan darah yang dapat terdeteksi adalah golongan darah AB.Kata kunci: ESP32-CAM, Tensorflow, Python, Golongan Darah, Pengolahan Citra ABSTRACTBlood group detection is performed to determine the blood group. Currently, in detecting blood type, it still relies on the ability of the human eyeThis paper presents a human blood group detection device using ESP32-CAM. This tool uses ESP32-CAM to capture images, and the Tensorflow Object Detection API as a framework used to train and process an image. The way this tool works is that the ESP32-CAM will capture an image of the blood sample and then send it via the IP address. Through the IP Address, the python program will access the image, then the image will be processed based on a model that has been previously trained. The results of this processing will be displayed in the form of a window program along with the blood type and level of accuracy. In this study, testing was carried out based on the number of image samples, the number of datasets, and the measurement distance. The ideal measurement distance between the ESP32-CAM and the blood group image is 20 cm long. The results obtained during the testing of the majority of blood groups that can be detected are AB blood group.Keywords: ESP32-CAM, Tensorflow, Python, Blood Type, Image Processing
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Ape Pane Basabilik, Plasida Arri. "Rancang Bangun Sistem Pemantau Kedatangan Tamu Berbasis Internet Of Things (IOT)." PRISMA FISIKA 9, no. 2 (2021): 110. http://dx.doi.org/10.26418/pf.v9i2.49316.

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Salah satu penggunaan teknologi internet of things (IoT) adalah pada sistem pemantauan jarak jauh, misalnya sistem pemantau keadaan rumah. Salah satu media yang dapat digunakan untuk mengontrol sistem IoT adalah aplikasi pesan. Aplikasi pesan merupakan aplikasi yang banyak digunakan karena kemampuannya untuk menyampaikan informasi dengan cepat dan luas. Informasi yang disampaikan sangat beragam baik berupa tulisan, gambar, maupun video. Pada penelitian ini, sistem pemantau kedatangan tamu berbasis IoT dirancang dengan menghubungkan infrared sensor dengan ESP32-CAM. Infrared sensor digunakan sebagai pengganti tombol bel untuk mengurangi kontak secara langsung di masa pandemi COVID-19. ESP32-CAM digunakan sebagai mikrokontroler yang menghubungkan semua perangkat. Kelebihan dari ESP32-CAM adalah memiliki Wi-Fi, bluetooth, modul secure digital (SD) card, serta kamera yang langsung tertanam pada board. Infrared sensor dan ESP32-CAM saling terhubung dengan buzzer, relay, solenoid door lock serta power supply. Untuk mengoperasikan alat, digunakan sebuah aplikasi pesan Telegram dengan memanfaatkan bot yang dimiliki Telegram. Bot Telegram dapat diakses dengan sebuah ID bot dan bot token yang dibuat menggunakan BotFather. Hasil penelitian menunjukkan bahwa infrared sensor dapat mendeteksi dan bekerja dengan baik sebagai tombol bel tanpa sentuh dalam jangkauan 0.5-3 cm. Kamera ESP32-CAM dapat mengambil gambar dengan kualitas baik dan pengujian pada chat bot berjalan dengan baik. Buzzer, relay, dan solenoid door lock dapat bekerja sesuai dengan perintah pada chat bot Telegram serta seluruh perintah telah diujicoba dan memberikan informasi dalam bentuk chating berupa teks dan gambar. Sistem ini memungkinkan pemilik rumah dapat melihat dan memantau tamu melalui smartphone secara real-time.Kata kunci: Iot, Telegram, ESP32-CAM, infrared sensor, solenoid door lock
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Dissertations / Theses on the topic "ESP32-CAM"

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Yevsieiev, V., and O. Luchaninova. "Development of the Environmental Visualization System Based on ESP32-CAM." Thesis, European Scientific Platform, 2022. https://openarchive.nure.ua/handle/document/20284.

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One of the promising areas of our time in the development of robotics is the development of humanoid robots. Research in this field makes it possible to synthesize various directions of modern technologies, such as computer vision systems, systems for identifying and recognizing objects based on neural networks, control, and decision-making systems under uncertainty.
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GUDURU, TABU SRAVANI, and SURYA NARAYANA MURTHY THATAVARTHY. "IoT Based Home Monitoring System." Thesis, Blekinge Tekniska Högskola, Institutionen för matematik och naturvetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20900.

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Home surveillance is a major concern in this day and age as with the rapid increase in the technology around us. There is a need to get updated with new possibilities to make our lives better and easy. Some cases and situations exhibit the need for home monitoring. So, we set out to discover a solution to this problem of home monitoring. Generally, we have issues with pets and kids alike such as approaching dangerous places like electric switches, stairs, and hot things. Not only a problem with kids and pets but also a chance of burglary and stranger's unusual activities. To overcome this problem we are designing and prototyping a system to keep an eye on kids, pets, and older people. This system is used in other applications like theft monitoring. The device can monitor the field all the time. In this way, this system helps in-home monitoring. The system consists of Arduino, which is the brain of the system, the PIR sensor, ESP32-CAM, and buzzer. The PIR sensor detects motion then gives input to the Arduino. Arduino gives output to the ESP32-CAM and buzzer. The ESP32-CAM can be activated and sends information to the user through the web Interface and the application. The user can see the video streaming on the PC screen or any other display. The buzzer can emit a high volume signal indicating that "there is an alert at the home".
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Bachmayer, Marek. "Monitorovací systém pro sledování chodu laboratoře." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-432835.

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The presented work deals with the development of a monitoring system for monitoring the operation of the laboratory. The theoretical part of the work includes information on the safety of operation and work in biological laboratories, measured physical quantities and the principle of their measurement. The monitoring system is built on a compact ESP32-CAM camera and a WeMos D1 development board. The practical part consists of the design and implementation of a given system and the creation of a full-stack application for displaying live input from the laboratory for monitoring measured quantities in real time.
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Ільченко, Владислав Олегович. "Розробка мoбільнoгo дoдaтку упрaвління IP кaмeрoю зa дoпoмoгoю". Магістерська робота, 2020. https://dspace.znu.edu.ua/jspui/handle/12345/5067.

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Ільченко В. О. С Розробка мoбільнoгo дoдaтку упрaвління IP кaмeрoю зa дoпoмoгoю ESP8266 : кваліфікаційна робота магістра спеціальності 121 "Інженерія програмного забезпечення" / наук. керівник В. В. Мухін. Запоріжжя : ЗНУ, 2020. 71 с.<br>UA : Робота викладена на 71 сторінці друкованого тексту, містить 10 рисунків, 10 джерел, 1 таблицю, 3 додатки. Об’єкт дослідження: плaтa ESP32-CAM, нaступнe пoкoління плaти ESP8266. Мeтa рoбoти: дoслідити сучaний стaн гaлузі Інтeрнeту рeчeй, дoслідити плaту ESP32-CAM, рoзрoбити прoeкт кaмeри спoстeрeжeння з дaтчикoм руху нa бaзі плaти ESP32-CAM. Мeтoд дoсліджeння: aнaлітичний, мeтoди прoгрaмнoї інжeнeрії. Плaтa ESP8266 є дужe пoпулярнa сeрeд рoзрoбників чeрeз свoю дeшeву ціну і дoвoлі бaгaтий функціoнaл. Плaтa ESP32 є нaступницeю плaти ESP8266 і мaє ряд пoкрaщeння зa мaйжe тaкoю ж цінoю. В цій рoбoті будe дoсліджeнo плaту, її прoгрaмувaння зa дoпoмoгoю Arduino. Як дoпoміжнa плaтa будe викoристaнo китaйську кoпію плaти Arduino uno. Рoзрoблeний дужe прoстий сeрвeр нa Flask для oтримaння тa пeрeдaчі інфoрмaції з дaтчикa руху, a тaкoж прoстий мoбільний дoдaтoк нaписaний нa React Native, щo будe пoкaзувaти стaтус з дaтчикa руху і зa бaжaнням трaнсляцію відeo з кaмeри. Усі ці кoмпoнeнти є змeншeнoю кoпією oснoвних кoмпoнeнтів сучaсних мoдулів систeм рoзумнoгo будинку, гaлузі якa дужe швидкo рoзвивaється і прoникaє у бaгaтo гaлузeй бізнeсу. Тoму тeмa є нaдзвичaйнo aктуaльнoю і цікaвoю.<br>EN : The work is presented on 71 pages of printed text, 10 images, 10 sources, 1 table, 3 applications. The object of research is the ESP32-CAM board, the next generation of the ESP8266 board. The aim of the study is to explore modern state of Internet of things industry, to explore the ESP32-CAM board, develop a surveillance camera project with a motion sensor based on ESP32-CAM board. The methods of research are analytical, methods of program engineering. The esp8266 board is very popular among developers due to its cheap price and quite rich functionality. The esp32 board is a successor to the esp8266 board and has a number of improvements at almost the same price. In this work the board and methods how to program it will be explored. A Chinese copy of the Arduino Uno board will be used as an auxiliary board. Developed a very simple server using Flask for receiving and transmitting information from the motion sensor, as well as a simple mobile application written in React Native, which will show the status of the motion sensor and optionally broadcast video from the camera. All these components are a common components of modern smart home systems modules, an industry that is developing very fast and is expanding on many industries. Therefore, the topic is extremely relevant and interesting.
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Book chapters on the topic "ESP32-CAM"

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Cameron, Neil. "ESP32-CAM Camera." In ESP32 Formats and Communication. Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9376-8_11.

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Cameron, Neil. "Remote Control an ESP32-CAM Robot Car." In ESP32 Formats and Communication. Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9376-8_14.

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Bhanuse, Vijaykumar, Soham Ratnaparkhi, Riya Loya, Rohan Sasne, Tejas Rokade, and Rushikesh Chandak. "Driver Drowsiness Detection Using CNN and ESP32 CAM." In Data Science and Security. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-0975-5_39.

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Kumar, Sumit, Kajal Sharma, Gaurav Raj, Dishani Datta, and Arpita Ghosh. "Arduino and ESP32-CAM-Based Automatic Touchless Attendance System." In Lecture Notes in Electrical Engineering. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9154-6_14.

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Gagan, M., Kapil R. Kaushik, Keaton Francis Fernandes, and S. Madhu. "Intruder detection using surveillance CCTV camera interfaced ESP32 Cam module." In Computer Science Engineering. CRC Press, 2024. https://doi.org/10.1201/9781003565024-44.

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Sreedhar, G. Jai, Jainam S. Mardia, T. Jagan Balaji, and S. Sudharsan. "Smart Glasses Designed Using ESP32-Cam Coupled with Google Lens." In ICT Infrastructure and Computing. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-4932-8_14.

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Gokhale, Hrishikesh, Chirag Satapathy, and Ali Zoya Syed. "Secure Image Data Storage and Transmission Using ESP32-Cam and Raspberry Pi with Steganography." In Internet of Things. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-20936-9_23.

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Goyal, Pramod Kumar, Moksh Giri, and Saurabh Verma. "IoT-Based Smart Door Lock System with Face Recognition Using ESP32 CAM and Android App." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-8661-3_27.

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Kennedy, Chinyere Grace, Kennedy Okokpujie, Fortune T. Young, Imhade P. Okokpujie, Adenugba Vincent Akingunsoye, and Alicia Ruth Asuna. "Development of a Lower-Cost Surveillance System Using an ESP32-Cam, IoT, and Twilio Application Programming Interface." In Proceedings of 3rd International Conference on Smart Computing and Cyber Security. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-0573-3_9.

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Domínguez-Nava, José Enrique, Adriana Reyes-Nava, and Leopoldo Gil-Antonio. "Assistant for people with visual disabilities through the use of object detection, speech to text and ESP32-CAM." In Computer Technology and Innovation. ECORFAN, 2024. https://doi.org/10.35429/h.2024.12.28.40.

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Abstract:
This work presents the design of an assistant for people with visual disabilities, which combines realtime object detection and the use of voice recognition to facilitate verbal interactions. The project is divided into two phases: the first develops a server in Python that receives user requests using a keyword. Upon detection, the server sends an HTTP request to the ESP32-CAM, which captures images of the environment. These are processed with YOLOv8 to identify the objects present. The server then generates a response in audio format, played through Bluetooth headphones, describing the detected objects. The second phase seeks to improve object detection and help the user find a particular one, indicating its location or distance. The work focuses on the first phase, which covers the design of the communication between the user, the server and the ESP32-CAM.
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Conference papers on the topic "ESP32-CAM"

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Narwaria, Ravindra Pratap, Anand Ahirwar, Abhinay K. Prajapati, Abhishek Kumar, and Arin K. Tiwari. "Smart Object Detection Using ESP32-CAM Based on YOLO Algorithm." In 2024 Second International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI). IEEE, 2024. http://dx.doi.org/10.1109/icoici62503.2024.10696374.

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Hafidz, Danish Muhammad, Daven Darmawan Sendjaya, Muhammad Ogin Hasanuddin, and Pranoto Hidaya Rusmin. "Low-Cost Stereo Vision System Using ESP32-CAM and YOLO." In 2024 10th International Conference on Wireless and Telematics (ICWT). IEEE, 2024. http://dx.doi.org/10.1109/icwt62080.2024.10674670.

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Marathe, Abha Ashutosh, Laksh Sharma, Lalropuia Sailo, Mustafa Limdiyawala, and Akhil Mate. "MotionGuard: ESP32 CAM-Powered Smart Flooring System for Enhanced Security." In 2024 International Conference on Integration of Emerging Technologies for the Digital World (ICIETDW). IEEE, 2024. https://doi.org/10.1109/icietdw61607.2024.10941468.

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Kumar, Anupam, Shashi Ranjan Mehta, Jasneet Chawla, and Satyam Bharti. "Object Detection for Assisting Blind Individuals Using ESP32-CAM and GPS." In 2025 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS). IEEE, 2025. https://doi.org/10.1109/sceecs64059.2025.10940583.

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Vinod, Dasari Naga, B. Bhaskar, B. Ravi Teja, and A. Kamalesh. "Riddance of Weed Using an Agri-Robot Employed by Arduino and ESP32 CAM." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10724013.

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Dwitama, Arya, Eri Prasetyo Wibowo, Nur Sultan Salahuddin, and Missa Lamsani. "Design Of Car Parking Availability and Capacity System Using ESP32-Cam and NodeMCU ESP8266." In 2024 Ninth International Conference on Informatics and Computing (ICIC). IEEE, 2024. https://doi.org/10.1109/icic64337.2024.10956998.

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Samanta, Riya, Bidyut Saha, and Soumya K. Ghosh. "A Low-Power Low-cost System for Disaster Locations Detection using ESP32 CAM and TinyML." In 2025 17th International Conference on COMmunication Systems and NETworks (COMSNETS). IEEE, 2025. https://doi.org/10.1109/comsnets63942.2025.10885754.

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S, Imran Hussain, Mehul M S, and Mohana Sankaran S. "Design and Implementation of a Smart Speech Interface using OCR and TTS APIs on ESP32-CAM." In 2025 5th International Conference on Trends in Material Science and Inventive Materials (ICTMIM). IEEE, 2025. https://doi.org/10.1109/ictmim65579.2025.10988321.

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Salsabila, Nurhusna, Apri Siswanto, and Luhur Bayuaji. "Design of a Smart Home Door Security System with Face Detection and Smart Bell using ESP32-CAM." In 2025 6th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI). IEEE, 2025. https://doi.org/10.1109/icmcsi64620.2025.10883160.

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Avalareddy, Rajya Lakshmi, Bindhu Priya Makala, Pushpavathi Tokala, Prudhvi Maradani, Venkata Ratna Prabha K, and Manoj Kumar D. "ESP32-CAM-based Wireless Human Detection System with PIR Sensor and Instant Alerts via GSM and Blynk App." In 2025 5th International Conference on Trends in Material Science and Inventive Materials (ICTMIM). IEEE, 2025. https://doi.org/10.1109/ictmim65579.2025.10988057.

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