Relevant bibliographies by topics / Microcontroller ESP32

Contents

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

Academic literature on the topic 'Microcontroller ESP32'

Author: Grafiati
Published: 28 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Microcontroller ESP32"

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Rieke Adriati Wijayanti, Ahmad Wilda Yulianto, Dianthy Marya, Muhammad Syirajuddin S., and Nurul Hidayati. "Antarmuka Mikrokontroller IoT (ESP32) Dengan USB Host max3421e." Journal of Applied Smart Electrical Network and Systems 1, no. 02 (December 31, 2020): 70–75. http://dx.doi.org/10.52158/jasens.v1i02.141.

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Electronic equipment made using old technology or electronic equipment in the entry-level category has not been supported by networking equipment, so for the data communication process, the microcontroller requires interfacing facilities that are in accordance with the electronic equipment used, such as a USB port. With the microcontroller that supports IoT, it allows electronic equipment to communicate over the network. An IoT microcontroller such as the ESP32 is equipped with a WiFi feature but is not equipped with a USB controller feature, while the USB Host max3421e supports the communication process using SPI, so that those two microcontrollers can be used to form an interface using the SPI bus. This interface can be applied to electronic equipment with old technology and entry level electronic equipment for wireless communication. For the needs of making an interface between the ESP32 and max3421e, a software was developed by analyzing the SPI features of the ESP32 and the USB protocol according to the USB device state diagram. The results obtained are the handshake process between systems developed with USB devices in the Low-Speed ​​and Full-Speed ​​categories such as printers, flashdisk, bluetooth mouse and external hard disk, and the device descriptor data of each device tested can be read properly.
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Kusumah, Hendra, and Restu Adi Pradana. "PENERAPAN TRAINER INTERFACING MIKROKONTROLER DAN INTERNET OF THINGS BERBASIS ESP32 PADA MATA KULIAH INTERFACING." Journal CERITA 5, no. 2 (August 1, 2019): 120–34. http://dx.doi.org/10.33050/cerita.v5i2.237.

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The absence of props remains a constraint on the learning process interfacing subjects where students have difficulty understanding the material obtained, besides because of the lack of microcontroller practice experience, students don't understand how to operate the microcontroller and also because of the lack of basic knowledge about the microcontroller. The design of the microcontroller interface trainer is intended as a teaching aid to help understand microcontroller interfacing using the UART, SPI, and I2C protocols and can be used as an Internet of Things teaching aid to help students practice monitoring and controlling input output on microcontrollers using smartphones over the internet. In designing this trainer, the author had made direct observations on learning activities in interfacing subjects and conducted questions and answers with several students. This trainer uses RFID, RTC and LCD modules as interfacing props that are connected to the ESP32 microcontroller, and there are components in the form of LEDs and potentiometers to practice the concept of the Internet of Things. The GPIO header pins and microcontroller interface pins expansion are also available on this trainer which can be connected with more modules and other components. Modules and components in the design of this trainer are connected with the ESP32 microcontroller in one integrated circuit board so as to provide practicality in its use.
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Setiawan, Andi, and Ade Irma Purnamasari. "Pengembangan Smart Home Dengan Microcontrollers ESP32 Dan MC-38 Door Magnetic Switch Sensor Berbasis Internet of Things (IoT) Untuk Meningkatkan Deteksi Dini Keamanan Perumahan." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 3, no. 3 (December 10, 2019): 451–57. http://dx.doi.org/10.29207/resti.v3i3.1238.

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The objective developed from this research is to utilize Smart Home with an integrated ESP32 microcontroller with a camera and MC-38 door magnetic switch sensor based on the Internet of Things (IoT) as a research base to detect the security of arumsari earth housing in Cirebon District when left by its inhabitants. ESP32 microcontroller which can be programmed via arduino IDE, then functioned to respond to the integrated camera so that it can transmit images when the MC-38 sensor door magnetic switch sensor is active. Technically the combination of the ESP32 microcontroller and MC-38 door magnetic switch sensor, which was developed as a prototype in this study is called the arumsari housing early detection system. The mechanism of the arumsari housing early detection system is when a house door or window is successfully forcibly broken without going through the system mechanism, then automatically an image or can also be developed into a video from a camera mounted on an ESP32 microcontroller will send the image through a web framework or smartphone as a form early warning of security to housing owners. The results obtained from this study are at the angle of normally open MC-38 door magnetic switch sensor of 60 - 1800, will work sending an image signal which means there is an indication of a burglar or unknown person entering the house. Whereas at the normally closed angle MC-38 door magnetic switch sensor is 00-50, it will not work sending an image signal which means the house is safe.
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JATMIKO, DIDIT ANDRI, and Salita Ulitia Prini. "Implementation and Performance Testing of Background Subtraction Algorithm on ESP32." Komputika : Jurnal Sistem Komputer 6, no. 2 (May 23, 2019): 9–15. http://dx.doi.org/10.34010/komputika.v6i2.1689.

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This paper describes the background subtraction algorithm and its performance in low power processing units, this algorithm has low complexity and can be used to detect objects so that it has the potential to be applied to security cameras. This study has succeeded in applying basic image processing algorithms to detect and track objects, such as background subtraction in the ESP32 module. The ESP32 module equipped with Xtensa® 32-bit LX6 microprocessor running at 240MHz can process 10000 times background subtraction algorithms in ~ 2000ms using 80x60 pixel image input. Background Subtraction; Embedded; ESP32; Image Processing; Microcontroller; Object Detection;
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Abed, Issa, and Hayder Naser. "ESP32 Microcontroller Based Smart Power Meter System Design and Implementation." Al-Rafidain Engineering Journal (AREJ) 25, no. 2 (December 1, 2020): 137–45. http://dx.doi.org/10.33899/rengj.2020.127111.1038.

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Y., Smolianik, and Puzyrov S. "INTEGRATION OF ESP32-CAM OV2604 CAMERA WITH MOBILE MESSENGERS." Computer systems and network 2, no. 1 (March 23, 2017): 88–93. http://dx.doi.org/10.23939/csn2020.01.088.

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The issue of creating an IP camera based on the ESP-32 CAM module, and integration and transfer of images to the messenger is considered. Provision is made to ensure and increase security during data transmission and interaction with the bot. It is also proposed to create a special telegram bot, using the telegram API, to obtain images from the camera, at any time, when connected to the Internet. The efficiency of the microcontroller at a given task is analyzed. The use of MQTT transmission protocol is proposed, and its advantages for this system are considered. Examples of improvement of this project, layout of this module are given. Discussion of the place and scope of work for the use of this module. The advantages of the ESP-32 CAM module for this task are considered, and why it is the best in its segment for beginners and improvement of knowledge in this work. Examples of using the module with other mobile applications are given. Keywords: - ESP-32 CAM module, messenger, MQTT, advantages, microcontroller, telegram.
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Jatmiko, Didit Andri, and Salita Ulitia Prini. "Implementasi dan Uji Kinerja Algoritma Background Subtraction pada ESP32." Komputika : Jurnal Sistem Komputer 8, no. 2 (November 14, 2019): 59–65. http://dx.doi.org/10.34010/komputika.v8i2.2194.

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Salah satu hal penting pada computer vision adalah ciri (feature) citra. Ciri digunakan sebagai dasar untuk mendeteksi objek, baik itu benda, manusia maupun hewan. Ciri citra yang biasa digunakan dalam penelitian antara lain tepian, sudut, bentuk maupun gradient histogram. Penelitian ini menjelaskan kinerja algoritma background subtraction pada unit pemroses berdaya rendah sebagai salah satu algoritma pada computer vision. Algoritma ini memiliki kompleksitas yang rendah dan dapat digunakan untuk mendeteksi objek sehingga berpotensi diterapkan pada kamera keamanan. Algoritma ini bekerja dengan melakukan pengurangan nilai piksel current frame dengan background model. Penelitian ini telah berhasil menerapkan algoritma dasar pengolahan citra, yaitu algoritma background subtraction pada modul ESP32. Pengujian menggunakan input citra yang memiliki dimensi 80x60 piksel dengan format warna 8bit grayscale. Ukuran frame citra 80 x 60 piksel dipilih sebagai citra uji karena keterbatasan memory DRAM EPS32 sebesar 328 KB (kilobyte). Implementasi pada modul ESP32 yang dilengkapi dengan mikroprosesor Xtensa 32-bit LX6 yang bekerja pada frekuensi 240MHz dapat memproses algoritma background subtraction 10000 kali dalam waktu ±2000ms menggunakan input citra uji tersebut. Kata Kunci – Background Subtraction; ESP32; Image Processing; Microcontroller; Object Detection.
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Foltýnek, Petr, Marek Babiuch, and Pavel Šuránek. "Measurement and data processing from Internet of Things modules by dual-core application using ESP32 board." Measurement and Control 52, no. 7-8 (June 19, 2019): 970–84. http://dx.doi.org/10.1177/0020294019857748.

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The contribution describes the application of an Internet of Things device with an ESP32 microcontroller with the dual-core implementation of data processing and wireless communication. The first leading idea of using low-end hardware and software optimization to create software architecture in order to make the most of this hardware and reduce the cost of more expensive hardware solutions was tested. Our goal in architectural design was achieved. We created the basis of a general framework and defined its use scenarios, and then implemented these scenarios using components. This article describes the progressive development of our embedded vibration measurement testing system, on which we tested the individual software components for our framework. We created an application for our components using ESP32 processor cores, which divided the responsibility of these cores for the components of our framework.
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Sirenden, Bernadus Herdi, Arisman Manao, and Nasruddin MN. "Development of Camera-Based Rainfall Intensity Measurement Tool with Fourier Transform Analysis." Journal of Technomaterial Physics 3, no. 2 (August 31, 2021): 89–100. http://dx.doi.org/10.32734/jotp.v3i2.5407.

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In this research, the development of a camera-based rainfall intensity measuring instrument with the Fourier Transform Analysis has been carried out. The ESP32 CAM Microcontroller was used to capture images and record rainfall videos. The research objective was to design a development model for measuring rainfall intensity, understanding the working principle of the tool, and knowing the histogram of the rainfall intensity video recording produced by the rainfall intensity detection tool. The research consisted of several stages, namely literature study, design of research tools and components, system design, assembly of tools, testing of all components, programs and screen record testing and image capture. The design model for the development of a measuring instrument for rainfall intensity that has been made is that when water flows through the shower there will be rainfall. The process of rainfall will be captured and recorded by the ESP32 CAM Microcontroller which is accessed via a computer device. Experiments were carried out ten times, with a time span of 60 seconds per experiment and an increase in rainfall every minute, then the data was processed using python software in the form of a histogram (grayscale), which would be analyzed using the Fourier Transform Analysis method. The results showed that the development of a camera-based rainfall intensity gauge has worked well.
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Faisal, Ahmad, and Habibullah Habibullah. "Sistem Kontrol Misting Antiseptic Automatic Pada Pintu Masuk Berbasis Microcontroller." JTEIN: Jurnal Teknik Elektro Indonesia 2, no. 2 (August 23, 2021): 182–89. http://dx.doi.org/10.24036/jtein.v2i2.164.

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Virus sangat mudah menyebar dan menyebabkan penyakit. Penyebaran virus dapat diminimalisir dengan suatu usaha salah satunya membasuh permukaan tubuh menggunakan antiseptik dengan metode pengkabutan pada suatu pintu masuk tempat yang adanya kerumunan. Tujuan penelitian ini adalah membuat alat yang dapat mengurangi penyebaran virus dengan sistem kontrol pengkabutan antiseptik otomatis pada pintu masuk berbasis mikrokontroler. Penelitian ini menggunakan metode percobaan atau ekperimen. Penelitian ini dilakukan di rumah penulis. Sistem kontrol pengkabutan antiseptik otomatis pada pintu masuk berbasis mikrokontroler ini dikendali oleh ESP32-CAM yang dimulai ketika kendali tersebut terhubung ke internet melalui Wi-Fi. Sensor E18-D80NK akan mendeteksi adanya objek sehingga alat akan mengirimkan data gambar oleh kamera OV2640 serta data suhu oleh sensor MLX90614 ke aplikasi Telegram yang nantinya dapat di pantau oleh operator. Operator juga dapat melihat suasana sekitar alat secara langsung dengan menggunakan bilah pesan aplikasi Telegram baik itu berupa gambar dan juga temperatur. Setelah alat mengirimkan gambar serta data suhu objek, mesin pompa air akan bekerja selama 2 detik untuk memberikan tekanan kepada antiseptik sehingga cairan akan mengalir ke ujung saluran atau Nozzle 0.2mm sehingga cairan akan keluar sebagai kabut atau embun dari cairan antisetik tersebut.
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Dissertations / Theses on the topic "Microcontroller ESP32"

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Arnesson, Pontus, and Johan Forslund. "Edge Machine Learning for Wildlife Conservation : Detection of Poachers Using Camera Traps." Thesis, Linköpings universitet, Reglerteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177483.

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This thesis presents how deep learning can be utilized for detecting humans ina wildlife setting using image classification. Two different solutions have beenimplemented where both of them use a camera-equipped microprocessor to cap-ture the images. In one of the solutions, the deep learning model is run on themicroprocessor itself, which requires the size of the model to be as small as pos-sible. The other solution sends images from the microprocessor to a more pow-erful computer where a larger object detection model is run. Both solutions areevaluated using standard image classification metrics and compared against eachother. To adapt the models to the wildlife environment,transfer learningis usedwith training data from a similar setting that has been manually collected andannotated. The thesis describes a complete system’s implementation and results,including data transfer, parallel computing, and hardware setup. One of the contributions of this thesis is an algorithm that improves the classifi-cation performance on images where a human is far away from the camera. Thealgorithm detects motion in the images and extracts only the area where thereis movement. This is specifically important on the microprocessor, where theclassification model is too simple to handle those cases. By only applying theclassification model to this area, the task is more simple, resulting in better per-formance. In conclusion, when integrating this algorithm, a model running onthe microprocessor gives sufficient results to run as a camera trap for humans.However, test results show that this implementation is still quite underperform-ing compared to a model that is run on a more powerful computer.
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Milota, Martin. "Systém zabezpečení včelích úlů před nepovolenou manipulací." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442373.

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This master thesis deals with the design of beehive security system against unauthorized manipulation. The system uses LoRaWAN wireless communication technology for data transmission. The device records the movement of the beehive using an accelerometer and then locates the beehive using a GPS module. The low-energy system works via a battery-powered ESP32 microcontroller and is located on a beehive. The battery is charged using a solar panel. The system can be modularly expanded with additional sensors to monitor the condition of the bees. The device has been tested in practice, where it has been confirmed that it meets the required properties for securing beehives.
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Franek, Miroslav. "Vývojový kit pro komunikaci mikrokontrolérů s počítačem." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-400726.

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Master’s thesis deals with the design of development kit for communication between a microcontroller and a computer using USB, Bluetooth, WiFi and Ethernet interfaces. In the theoretical introduction is the analysis of theese interfaces and the interfaces used for communication by the microcontroller. In the next part, components for the development kit are selected. Then a wiring diagram and the printed circuit board is designed. Next, the firmware design is described. The last chapter deals with the implementation and testing of the development kit. The appendix contains a proposal for a laboratory task to introduce the development kit to students.
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Grzybowská, Martina. "Human Mo-cap System Based on Inertial Measurement Units." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2021. http://www.nusl.cz/ntk/nusl-445474.

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Cieľom tejto práce je navrhnúť, zhotoviť a implementovať vlastný systém pre zachytávanie pohybu založený na inerciálnych meracích jednotkách. V rámci budovania teoretického základu bolo preskúmaných viacero metód, avšak primárne bola pozornosť venovaná samotnému inerciálnemu snímanu - jeho kladom a nedostatkom, kľúčovým vlastnostiam a jednotlivým komponentom potrebným pre zostrojenie systému na jeho báze. Tento úvodný zber informácií je nasledovaný fázami návrhu, zhotovenia a zhodnotenia, ktoré sa zaoberajú procesom vývoja a testovania daného riešenia. Hlavným prínosom realizácie systému je zostrojenie zariadení pre snímanie pohybu - jedná sa o malé, ľahké, batériovo napájané zariadenia, ktoré sú kompletne bezdrôtové, či už z hľadiska komunikácie s okolitým svetom, alebo vďaka napájaniu kompatibilnému so štandardom Qi.
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Rachelli, Federico. "Micro-WoTServient: progettazione ed implementazione di uno stack software Web of Things per microcontrollori." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/21606/.

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In questa tesi triennale si discuterá la progettazione e l'implementazione di uno stack WoT Servient per dispositivi embedded per l'utilizzo nel campo dell'Internet of Things. Nella realizzazione di tale progetto si sono seguiti gli standard definiti dal consorzio W3C in materia di Web of Things. L'interfaccia del progetto si compone di una GUI con la quale l'utente puó realizzare la Thing Description associando per ogni Interaction Affordance un set di Binding Templates realizzati, tra cui HTTP, WebSocket e CoAP. Di seguito sará possibile compilare lo sketch ed effettuare l'upload su una board prototipale compatibile con lo stack software Arduino. La piattaforma é stata sviluppata per realizzare codice per la board Espressif ESP32, ma portabile su altri devices con caratteristiche compatibili apportando le opportune modifiche al template del microcontrollore.
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Nanto, Darack B. "The Eco-Smart Can." Digital Commons @ East Tennessee State University, 2019. https://dc.etsu.edu/asrf/2019/schedule/219.

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I noticed that the workers had the same itinerary when emptying trashcans, meanwhile trashcans needed urgently to be emptied. Traditionally, ETSU maintenance operate on daily routes to pick trash on designated time, regardless the level of the containers. This leads to overflown trashcan in busy areas or during rush hours in certain areas. This overflown trashcan result in an unclean environment for the community and an unpleasant look of our beautiful campus. The time, resources and labor invested in collecting the trash could be saved. Therefore, I decided to use the Internet of Things (IoT) to create a device that will optimize trash collection, to reduce costs and pollution. The Eco-Smart Can will contain a renewable source of energy such as the solar panel. Furthermore, it will have a compactor as well to decrease the trash volume. The system in the Eco-Smart can will give prior information of the trash level to maintenance facility so that they can empty the trash in a timely manner and preserve the environment.
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Janík, Vladimír. "Chytré čerpadlo na čerpání vody z nádrže." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442364.

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This thesis deals with the implementation of a system for measuring the amount of water in the tank using a 12V water pump. The whole system is controlled by the ESP32 microcontroller. The introduction deals with the theoretical analysis of various principles of measuring the level of liquids. The next part deals with the procedure of the construction of the measuring device and its theoretical analysis. The last part of the work deals with the control of the pump and the individual functions that provide this control. The ultrasonic distance sensor AJ-SR04M was chosen for the implementation of the device. The volume of water in the tank is calculated from its data. The ESP32 microcontroller provides system control via a web interface. The whole system was implemented and tested to measure the volume of water and its pumping in the IBC container.
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Freitas, Leonel Dinarte Camacho. "Low cost loT monitoring solution for increased student awareness on campus." Master's thesis, 2021. http://hdl.handle.net/10400.13/3594.

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O preço do equipamento eletrónico tem descido acentuadamente nas últimas décadas. Este decréscimo favoreceu um crescimento exponencial de todo o tipo de dispositivos eletrónicos, a ubiquidade destes dispositivos torna-os quase indissociáveis dos seus utilizadores. Uma das áreas a beneficiar e igualmente a potenciar esse crescimento é a Internet das Coisas, IoT, ou seja, a possibilidade de uma ligação constante e de partilha de dados entre os mais diversos dispositivos. Em paralelo com o uso de soluções de índole comercial, tem surgido dispositivos de custo reduzido como o Arduino, que permitem criar pequenos projetos IoT de forma económica. Para além destes, outros produtos tais como as boards da Espressif Esp8266 e ESP32 já com ligação Wi-Fi incluída tem ganho notoriedade em anos recentes. O objetivo deste projeto foi precisamente o desenvolvimento de um sistema de recolha de dados de baixo custo e autónomo, que tenha utilidade para os seus utilizadores, especialmente num contexto académico utilizando o ESP32 da Espressif como base. Este sistema visa recolher dados ambientais tais como temperatura, humidade, nível de ruído, e através do uso dos sinais Wi-Fi emitidos pelos dispositivos móveis, tentar estabelecer a estimativa da ocupação de uma determinada localização. Esta informação recolhida deverá ser disponibilizada à comunidade académica tornando possível, por exemplo, aos alunos selecionar a melhor sala de estudo baseando-se na sua ocupação, ou nível de ruido. Os principais componentes destes projetos são os ESP32s e os respetivos sensores, denominados de SensingBox, e a componente de software e infraestrutura associada para processar os dados recolhidos, interagir com as SensingBox e permitir a visualização dos dados recolhidos. Além deste objetivo primário é importante fazer uma análise exploratória das potencialidades desta plataforma em projetos de baixo custo assim como as metodologias de desenvolvimento para a mesma. De certa forma este projeto visa em parte servir de guia para quem esteja a desenvolver um projeto de natureza similar. O sistema desenvolvido foi testado em dois contextos, um para aprimorar o sistema num contexto doméstico, e outro no contexto para o qual havia sido idealizado, ou seja, no Campus da Universidade da Madeira.
In the last decades there has been a steep decrease in the price of electronics. This decrease has favored an exponential increase of all types of consumer electronics. The ubiquity of these devices makes them almost inseparable from their users. One area benefiting and at the same time further increasing this ubiquity is the Internet of Things, IoT, in other words the possibility of having a constant connection and data sharing amongst the most diverse devices. In parallel with the development of IoT solutions designed for Industrial use, some other low-cost devices such as the Arduino have appeared, which enable the development of small IoT projects economically. Besides the Arduino other products such as the ESP8266 and ESP32 boards by Espressif have been gaining popularity in recent years. The aim of this project is the development of a low cost, autonomous monitoring solution that is of use for the academic community. This system should collect environmental data such as temperature, humidity, noise pollution and make an estimation of the occupancy of a certain zone through the ubiquity of mobile devices by capturing their Wi-Fi request probes. The information collected will be made available for the academic community, giving the possibility of students to select the best study room based on the occupancy or noise level of the different rooms. The main constituents of the project are the ESP32s with the associated sensors named Sensing Boxes, and the necessary software component and infrastructure to process the data collected and provide it to interested parties. In addition to this main objective, it is important to understand and document the potentialities of the ESP32 in low-cost projects as its development methodologies available. In a sense provide a guideline of the most important topics about this board and some sensors for anyone developing a project of similar nature. The system was tested in two contexts, one of domestic nature, and in order to fine tune and debug the system, the other in the context to which it was originally idealized, the campus of University of Madeira.
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Book chapters on the topic "Microcontroller ESP32"

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Cameron, Neil. "ESP32 microcontroller features." In Electronics Projects with the ESP8266 and ESP32, 641–82. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6336-5_22.

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Khalid, Alwaleed, and Irfan Memon. "Bluetooth-Based Traffic Tracking System Using ESP32 Microcontroller." In Algorithms for Intelligent Systems, 737–46. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5243-4_70.

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Cameron, Neil. "Microcontrollers." In Electronics Projects with the ESP8266 and ESP32, 611–39. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6336-5_21.

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Dokic, Kristian. "Microcontrollers on the Edge – Is ESP32 with Camera Ready for Machine Learning?" In Lecture Notes in Computer Science, 213–20. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51935-3_23.

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Babiuch, Marek, and Jiri Postulka. "Smart Home Monitoring System Using ESP32 Microcontrollers." In Internet of Things [Working Title]. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.94589.

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This chapter deals with the implementation of our own monitoring system with home security. The system is designed using IoT modules and uses ESP32 microcontrollers. The chapter describes the design of the system, its hardware components, software implementation, security solutions, communication, the collecting and monitoring of processed data, as well as the quantification of costs for the production and deployment of this system. The proposed system secures a house by detecting an intruder in the building, triggering an alarm and capturing it all with camera images, and then sending data to the owner’s smart mobile phone. The secondary task of the system is to collect data from sensors for monitoring the temperature of an object and presenting it via a web server.
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Vijayvargiya, Priya, and Arun Parakh. "Low-Cost Wireless Speed Control and Fault Mitigation of Three-Phase Induction Motor." In Computational Methodologies for Electrical and Electronics Engineers, 150–62. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-3327-7.ch012.

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This chapter presents a design proposal for low-cost speed control and electrical fault mitigation of three-phase induction motors. The proposed system can control and monitor TIMs (three-phase induction motors) from far-flung areas. Here authors have proposed a relay-free system for fast fault clearance. IoT technology and low-cost microcontrollers have helped in achieving a system that is more reliable, economical, user friendly, and fast. It can be controlled by mobile application at the comfort of home. Data related to fault occurrence can be stored and analyzed for preventive maintenance. V/f scalar control method is used for speed control of TIM and able to control it in a wide range. Electrical faults such as over-current, over-temperature, over-voltage, and under-voltage are considered in this chapter. Simulation of the proposed design is done using Proteus 8 software. ESP32 is used to runs a web server that connects the mobile app with simulation.
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Conference papers on the topic "Microcontroller ESP32"

1

Babiuch, Marek, Petr Foltynek, and Pavel Smutny. "Using the ESP32 Microcontroller for Data Processing." In 2019 20th International Carpathian Control Conference (ICCC). IEEE, 2019. http://dx.doi.org/10.1109/carpathiancc.2019.8765944.

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Kljakic, Stefan, Vladimir Rajs, Milan Bodic, and Nemanja Cvetkovic. "Position Regulation System with Camera and Microcontroller ESP32." In IEEE EUROCON 2019 -18th International Conference on Smart Technologies. IEEE, 2019. http://dx.doi.org/10.1109/eurocon.2019.8861899.

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Bipasha Biswas, Shatadru, and M. Tariq Iqbal. "Solar Water Pumping System Control Using a Low Cost ESP32 Microcontroller." In 2018 IEEE Canadian Conference on Electrical & Computer Engineering (CCECE). IEEE, 2018. http://dx.doi.org/10.1109/ccece.2018.8447749.

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Maier, Alexander, Andrew Sharp, and Yuriy Vagapov. "Comparative analysis and practical implementation of the ESP32 microcontroller module for the internet of things." In 2017 Internet Technologies and Applications (ITA). IEEE, 2017. http://dx.doi.org/10.1109/itecha.2017.8101926.

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5

Kareem, Husam, and Dmitriy Dunaev. "The Working Principles of ESP32 and Analytical Comparison of using Low-Cost Microcontroller Modules in Embedded Systems Design." In 2021 4th International Conference on Circuits, Systems and Simulation (ICCSS). IEEE, 2021. http://dx.doi.org/10.1109/iccss51193.2021.9464217.

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Borsig, Matthias, Sven Nitzsche, Max Eisele, Roland Groll, Jurgen Becker, and Ingmar Baumgart. "Fuzzing Framework for ESP32 Microcontrollers." In 2020 IEEE International Workshop on Information Forensics and Security (WIFS). IEEE, 2020. http://dx.doi.org/10.1109/wifs49906.2020.9360889.

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Ionescu, Valeriu Manuel, and Florentina Magda Enescu. "Investigating the performance of MicroPython and C on ESP32 and STM32 microcontrollers." In 2020 IEEE 26th International Symposium for Design and Technology in Electronic Packaging (SIITME). IEEE, 2020. http://dx.doi.org/10.1109/siitme50350.2020.9292199.

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