Relevant bibliographies by topics / SDP and Arduino interface

Contents

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

Academic literature on the topic 'SDP and Arduino interface'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "SDP and Arduino interface"

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Ng, David. "Wearable smart device incorporating real-time clock module and alcohol sensor." KnE Engineering 2, no. 2 (February 9, 2017): 328. http://dx.doi.org/10.18502/keg.v2i2.633.

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<p>In this work, we designed and built a wearable device with battery-saving and alcohol-sensing functions. The motivation for this device was to deliver a proof-of-concept wearable and functional device which alerts the user of possible alcohol breath level above a threshold limit and can be worn for an extended time due to battery saving features. It was built using a combination of Arduino electronics and sensors, and encased in 3D-printed ABS bracelet. A 4-digit 7-segment LED display on board is used to display time which is tracked using a real-time clock module. A 3-axis accelerometer determines the orientation of the device and activates the display only when it is held in a specific orientation by the user. An example is when two axes are normal to the gravitational pull while a single axis is in line with gravity to simulate users raising their arm parallel to the ground. A slight tolerance in the setting ensures that the threshold for activation is not overly strict. This will ensure that the LED display is activated over a narrow range of orientations. The alcohol sensor is sensitive to alcohol content in the air. The threshold for detection can be changed and calibrated to the user specific needs. The alcohol sensor is slightly sensitive to humidity and very sensitive to alcohol. It has been tested with ethanol, wine and beer with 95%, 12.5% and 4.55% alcohol content, respectively. Because the alcohol sensor works by using a resistor that continuously pulls current and detects changes in resistivity due to adsorption of alcohol molecules, it consumes a lot of power when turned on continuously. In order to conserve power, the sensor can be activated only when the device is oriented in a specific position or when the user pushes a button. An Arduino Nano board is used to reduce the overall size of the device. It is powered using an external 5V battery via a mini-USB connector. In order to reduce the number of IO pins used, the RTC, LED and accelerometer were configured to use I2C interface connections. A default SCL clock speed of 100 kHz is used and the component IOs are connected to a common SDA line which terminates at one analog pin. In normal operation, the RTC is configured to read time continuously at one second interval. It is preprogramed with the correct date and time prior to operation of the device.</p>
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Deowanshi, Ashutosh. "Arduino Based 3D Touchless Interface." IJARCCE 8, no. 3 (March 30, 2019): 29–35. http://dx.doi.org/10.17148/ijarcce.2019.8306.

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Baskoro, Farid, Miftahur Rohman, and Aristyawan Putra Nurdiansyah. "SERIAL PERIPHERAL INTERFACE (SPI) COMMUNICATION APPLICATION AS OUTPUT PIN EXPANSION IN ARDUINO UNO." INAJEEE Indonesian Journal of Electrical and Eletronics Engineering 3, no. 2 (August 28, 2020): 63. http://dx.doi.org/10.26740/inajeee.v3n2.p63-69.

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Serial Peripheral Interface (SPI) is a synchronous serial communication whose data or signal transmission involves Chip Select (CS) or Slave Select (SS) pins, Serial Clock (SCK), Master Out Slave In (MOSI), and Master In Slave Out (MISO). In the Arduino Uno, there are four pins that allow Arduino Uno to perform SPI communication. In this research, SPI communication is implemented to expand the output of the Arduino Uno by using the features of the MCP23S17 IC so that the Arduino Uno, which initially has 20 output pins, can expand to 36 output pins.The results of the research show that the Arduino Uno manages to control 36 output pins. 16 output pins from the MCP23S17, 16 output pins from the Arduino Uno, and 4 pins are used for the SPI communication line. The results of this study also show the form of the SPI communication signal from Arduino Uno in declaring 21 registers on MCP23S17, declaring the MCP23S17 pin register as output, and implementing the output using LEDs.
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Gautam, Abhinav, Kumar Kinjalk, Amitesh Kumar, and Vishnu Priye. "FBG-Based Respiration Rate Sensing With Arduino Interface." IEEE Sensors Journal 20, no. 16 (August 15, 2020): 9209–17. http://dx.doi.org/10.1109/jsen.2020.2989004.

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Abdullah, Ade Gafar, and Agung Pramudiantoro Putra. "Water Level Measurement Altitude Trainer Integrated With Human Machine Interface." Indonesian Journal of Science and Technology 2, no. 2 (September 1, 2017): 197. http://dx.doi.org/10.17509/ijost.v2i2.8019.

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This research aims to design a trainer simulator wake height of the water level measurement using microcontroller arduino mega integrated with Human Machine Interface (HMI). This tool is designed to describe a working system of water level elevation measurements as a learning medium HMI. By using a microcontroller arduino mega, all processes in both input and output can be integrated to the HMI using a 7-inch LCD screen.
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Rusimamto, P. W., Endryansyah Endryansyah, L. Anifah, R. Harimurti, and Y. Anistyasari. "Implementation of arduino pro mini and ESP32 cam for temperature monitoring on automatic thermogun IoT-based." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 3 (September 1, 2021): 1366. http://dx.doi.org/10.11591/ijeecs.v23.i3.pp1366-1375.

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The purpose of this research is to monitor the temperature by applying arduino pro mini and ESP32 cam using IoT technology which is connected to a web interface. Arduino is used as the main brain of the system where arduino will read data from the MLX90614-ACF temperature sensor. Sensor data will continue to be sent to the server by arduino via the ESP32 cam module. This tool can also take pictures and send images automatically at the same time when measuring temperature. The captured image will automatically be sent to the PC/laptop monitor screen via the website. The website is used to display and monitor the results of temperature measurement data and display the image results from the ESP32 cam. The process of taking photos and measuring body temperature is done automatically. Users can also view data from sensors and photo data sent by arduino and ESP32 cam via the provided web interface. From the test results, this system has been running well where all sensor data is sent and can be displayed on the website. Images and measurement data results are sent to the monitor screen via the website interface with a measurement accuracy of 99.6%.
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Zulkifli, Shamsul Aizam, Mohd Razali Tomari, Mohd Najib Hussin, Abdul Salam Saad, Mohd Khairul Akli Ab Ghani, Farih Deraman, Nawi Berahim, and Abdul Hadi Abdullah. "Application of Robust Control on Arduino Microcontroller Testing in Power Electronics Converters." Applied Mechanics and Materials 785 (August 2015): 172–76. http://dx.doi.org/10.4028/www.scientific.net/amm.785.172.

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This paper presents the capability of Arduino for responding to the robust controller which has been applied to the 3 phase rectifier and 3 phase inverter. The interface between the converters and the Arduino has been established by using MATLAB-Simulink environment. This is the fastest interface due the Arduino library that is available in the MATLAB which can be used before downloading the program to the board. Two types of controllers have been tested which are, P-Resonant and Fuzzy-PI controller. The voltage or current feedback mechanism also has been applied between the converters with the Arduino input port in order for responding to the design controller for signal generating pattern. At the end, it shows that, the Arduino is capable to receive the signals from the converters, process the signals in the board and generating the signal out for controlling the converters.
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Setyawibawa, Ika, and Arief Goeritno. "Communication Interface Adapter Berbasis Mikrokontroler Arduino Terkendali Sinyal Dual Tone Multi Frequency." ELKHA 11, no. 1 (April 4, 2019): 19. http://dx.doi.org/10.26418/elkha.v11i1.30374.

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Telah dipabrikasi sebuah communication interface adapter berbasis mikrokontroler Arduino UNO R3 dan MEGA2560 R3 terkendali sinyal dual tone multi frequency dalam wujud dua modul elektronika sebagai gateway. Pabrikasi dilakukan melalui tahapan integrasi terhadap perangkat keras dan subsistem pendukung, pemrograman, dan uji verifikasi berupa simulasi. Arduino UNO R3 digunakan pada modul gateway ke-1, sedangkan Arduino MEGA2560 R3 digunakan pada modul gateway ke-2. Pemrograman terhadap sistem mikrokontroler dilakukan melalui 5 (lima) tahapan algoritma, yaitu konfigurasi pin, deklarasi variable dan konstanta, ambil dan kirim data, dan keluaran. Bahasa pemrograman didasarkan kepada Arduino Integrated Developtment Enviroenment (IDE). Uji verifikasi dilakukan dalam bentuk simulasi. Diperoleh hasil simulasi terhadap 6 (enam) kondisi, yaitu a) simulasi terhadap rangkaian deteksi dering, b) simulasi terhadap rangkaian Voice Operated Transmit (VOX), c) simulasi rangkaian off hook modul pesawat telepon, d) simulasi imulasi terhadap rangkaian tone decoder, e) simulasi dial up nomor telepon melalui tombol DTMF dan rangkaian IC switching, dan f) simulasi terhadap rangkaian perekam dan penyimpan suara, berupa (i) perekaman suara dan (ii) pemutaran kembali suara.
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Journal, Baghdad Science. "Human Computer Interface for Wheelchair Movement." Baghdad Science Journal 14, no. 2 (June 4, 2017): 437–47. http://dx.doi.org/10.21123/bsj.14.2.437-447.

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This paper aims to develop a technique for helping disabled people elderly with physical disability, such as those who are unable to move hands and cannot speak howover, by using a computer vision; real time video and interaction between human and computer where these combinations provide a promising solution to assist the disabled people. The main objective of the work is to design a project as a wheelchair which contains two wheel drives. This project is based on real time video for detecting and tracking human face. The proposed design is multi speed based on pulse width modulation(PWM), technique. This project is a fast response to detect and track face direction with four operations movement (left, right, forward and stop). These operations are based on a code written in MATLAB environment and Arduino IDE environment. The proposed system uses an ATmega328microcontroller (Arduino UNO board).
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Serkovic-Loli, Laura Natalia, Axel Ricardo Rodríguez-Gómez, Jesús Abimael López Castillo, and Rodrigo Alejandro Gutiérrez-Arenas. "Low-cost Arduino-based interface for controlling gas flow in chemical vapor deposition graphene synthesis." Revista Mexicana de Física 65, no. 1 (December 31, 2018): 89. http://dx.doi.org/10.31349/revmexfis.65.89.

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In this work, we present a low-cost computer controlled, Arduino-based automation of the mass flow controllers for a chemical vapor deposition system. The major goal of the system is to provide the possibility to produce flow ramps of several gases for material synthesis. We used an Arduino Due board that only has the possibility to control two signals and increased this with a multiplexor so we could control 4 signals. The control board is based on the Arduino open source electronics prototyping platform, Labview software and Matlab's Simulink software. We quantify the quality of our automation system by comparing the Raman spectra of our graphene samples obtained after using our Arduino system, the manual method and using a National Instrument board. The results are very good as our 50 dollars system show similar results with the National Instrument system and the manual method.
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Dissertations / Theses on the topic "SDP and Arduino interface"

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Šustek, Vladimír. "Jednoduchý průmyslový Ethernet." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-400547.

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The diploma thesis is focused on the building embedded demonstration application of the proprietary Low Complexity Ethernet module for industrial usage further called the LEN/LES 2. At the first, main used technologies such as MCU, or the lightweight IP stack is discussed, Consequently, there is detailed view on system hardware architecture proposed by hardware and software requirements. Then though part describes blocks of embedded system are in term of specific parts and hardware requirements to create universal board. Following chapters expresses first startup and known hardware bugs, LWIP implementation and MODBUS system implementation. The core of the system is the new released microcontroller an ADuCM4050 and the Low Complexity Ethernet MAC-PHY prototype block and much more dependent convenient peripherals of the MCU based application.
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Svorobovič, Andrej. "Pusiau apibrėžto programavimo optimizavimo paketo SeDuMi analizė." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2007. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2007~D_20070816_175452-73016.

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Šiame darbe yra aprašomas optimizavimo paketas SeDuMi Interface ir jam priklausantis skaičiavimo paketas SeDuMi 1.05. Išvardintos paketo savybės, kurios išskiria jį iš kitų optimizavimo paketų. Aprašytos paketo funkcijų reikšmės. Supažindinama su optimizavimo paketų įvairove. Palyginamas pusiau apibrėžtas programavimas su tiesiniu programavimu, kadangi pakete SeDuMi interface realizuoti pusiau apibrėžto programavimo algoritmai. Taip pat lyginami programų skaičiavimų laikai: programų naudojančių SeDuMi paketo funkcijas ir programų su MATLAB funkcijomis. Palyginimui realizuoti, naudojamas klasikinis optimizavimo uždavinys –mažiausių reikšmių elipsoido uždavinys.
The optimization software SeDuMi Interface and it‘s calculation packet SeDuMi 1.05 is described in this work. Distinctive software features are listed. and values of packet’s functions are described. Variety of optimization packets is presented. Semidefinite programming is compared with linear programming, since semidefinite programming algorithms are implemented in the SeDuMi interface. Time of execution of the programs has been also compared: programs using SeDuMi software functions has been compared with programs using MATLAB functions. For the comparison classical optimization problem is used – the minimum volume ellipsoid problem.
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Aquino, Raphael de Jesus Lisboa. "Detecção e análise de movimentos do cotidiano via interface Arduino." Universidade Federal de Sergipe, 2016. https://ri.ufs.br/handle/riufs/6408.

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The gap between technologies produced by science and physics basic education is noticeable. The physical programming Arduino platform has great potential for educational, artistic and commercial applications to perform as good technological inclusion tool, technical expertise and methodological review in high school. The use of laboratory equipment in the science teaching is common goal among educators. This work guides teachers to assemble sophisticated equipment in order data acquisition some daily movements, such as free falls or vehicular movements. In comparision with other alternatives, this equipment is advantageous, with technical features such as high portability, low cost and good adaptability. The implementation of the proposal in an instrumentation class for physical education and two high school year 1 of the groups demonstrated a connection between physics and technology, foster interest in physics programming and improve the contextualization of kinematics with other branches of activity human increasing the chances of a meaningful learning.
É perceptível a distância existente entre tecnologias produzidas pela ciência e o ensino de física na educação básica. A plataforma Arduino de programação física tem grande potencial para aplicações didáticas, artísticas e comerciais, constituindo uma boa ferramenta de inclusão tecnológica, conhecimentos técnicos e revisão metodológica no ensino médio. O uso de equipamentos laboratoriais no ensino de ciência é meta frequente entre educadores. O presente trabalho ensina professores a montar um equipamento de aquisição de dados para alguns movimentos cotidianos ainda que rápidos, tais como quedas livre, ou movimentos veiculares ou pendulares. Em relação a outras alternativas, este equipamento é vantajoso em quesitos como portabilidade, custo e adaptabilidade a outros projetos didáticos. A aplicação da proposta em uma turma de instrumentação para o ensino de física e em duas turmas do 1º ano do ensino médio demonstrou aproximar Física e tecnologia, fomentar interesse em programação física e melhorar a contextualização da cinemática com outros ramos da atividade humana aumentando as chances de uma aprendizagem significativa.
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Silva, Alexandre José Braga da. "Um modelo de baixo custo para aulas de robótica educativa usando a interface arduino." Universidade Federal de Alagoas, 2014. http://www.repositorio.ufal.br/handle/riufal/1608.

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This paper describes a method of integration between the control interface Arduino as a low cost technological base that has an appropriate degree of simplicity to be used by children, teenagers and people who are starting projects in robotics, automation and control devices. This study is based on prototypes developed in workshops and educational robotics classes at a school for elementary and middle level in the state of Alagoas. The results obtained through experiments using reusable materials, scrap and electronic components easy to purchase in the market, set of integrated circuits and used by teachers and students, software showed excellent results in terms of exploiting classes, interest, participation and improvements in knowledge given, according to the assessments made by questionnaires with students.
Este trabalho descreve um método de integração entre a interface de controle Arduino como base tecnológica e dispositivos de baixo custo que possuam um grau de simplicidade adequado para que seja usado por crianças, adolescentes e pessoas que estejam se iniciando em projetos de robótica, automação e controle. Este estudo se baseia em protótipos desenvolvidos em oficinas e aulas de robótica educativa em uma escola de ensino fundamental e médio do estado de Alagoas. Os resultados alcançados através dos experimentos realizados, usando materiais reaproveitáveis, sucata e componentes eletrônicos de fácil aquisição no mercado, em conjunto com softwares integrados e utilizados pelos professores e alunos, demonstraram excelentes resultados em termos de aproveitamento das aulas, interesse, participação e melhorias nos conhecimentos ministrados, de acordo com as avaliações feitas por meio de questionários com os alunos.
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Pozdíšek, David. "Přenosné automatizované pracoviště pro měření vzduchotechnických veličin." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-417800.

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This diploma thesis deals with a portable working place for automated measuring of pressure characteristic dependence on ventilator air flow and dependence of pressure loss on air flow for electrical machines and other devices. The goal of this thesis is to design and create the working place with performance validation measure.
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André, Joel. "Modular Battery Management System interface to integrated Vehicle Control Unit : Creating a BMS playground using Arduino." Thesis, Karlstads universitet, Institutionen för ingenjörsvetenskap och fysik (from 2013), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-78793.

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Development today has moved more towards battery technology, partly due to the increased demand of electric vehicles (EVs). The quest for a sustainable society is at an all-time high, with electrification of almost all devices only being the beginning. Due to the use of the fragile Lithium-Ion battery, a system that controls and monitors the battery must be implemented to ensure that it operates normally. A system like this is often referred to as a Battery Management System (BMS), in this case for Lithium-Ion batteries. The objective in this thesis is to construct a modular BMS playground for NEVS in Trollhättan to continue development on. The interface for the system will consist of Controller Area Network (CAN), a fast and robust communication protocol used in almost all personal vehicles today, and Isolated Serial Peripheral Interface (isoSPI), an isolated adaptation of one of the most common communication protocols used in sensors and microcontrollers so far. The BMS will be constructed of four individual subsystems using Arduino, each with a different purpose. These four subsystems are later merged into one BMS system to offer communication between CAN and isoSPI, thus supporting a future integration of this BMS to the Vehicle Control Unit of an EV. Moreover, since the BMS is going to be developed for a vehicle, modes for engaging the vehicle to drive and stop will be made. In order to provide some safety measures, automatic disconnection of the battery in case of an error will be added. The BMS with the previously mentioned features, also capable of doing voltage measurements with a safe connection/disconnection of the battery was then made. Features such as current and temperature monitoring were omitted due to time constraints and will in the future instead be done by NEVS along additional features. This thesis was conducted by Karlstad University and NEVS in Trollhättan, Sweden.
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Karri, Janardhan Bhima Reddy. "Low Power Real-time Video and Audio Embedded System Design for Naturalistic Bicycle Study." Scholar Commons, 2015. https://scholarcommons.usf.edu/etd/5518.

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According to NHTSA Traffic Safety Facts [9], bicyclist deaths and injuries in 2013 are recorded as 732 and 48,000, respectively. In the State of Florida the safety of bicyclists is of particular concern as the bicycle fatality rates are nearly triple the national average. Further Florida ranks #1 on bicycle fatality rate in the nation for several years. To determine the cause of near-misses and crashes, a detailed study of bicyclist behavior and environmental conditions is needed. In a Florida Department of Transport (FDOT) funded project, USF CUTR has proposed naturalistic bicycle study based on ride data collected from 100 bicyclists for 3000 hrs. To this end, Bicycle Data Acquisition System (BDAS) is being researched and developed. The main objective of this thesis work is to design and implement low power video and audio subsystems of BDAS as specified by domain experts (USF CUTR researchers). This work also involves design of graphical user interface (Windows application) to visualize the data in a synchronized manner. Selection of appropriate hardware to capture and store data is critical as it should meet several criteria like low power consumption, low cost, and small form factor. Several Camera controllers were evaluated in terms of their performance and cost. The major challenges in this design are synchronization between collected data, storage of the video and sensor data, and design of low power embedded subsystems.
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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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Ta, Christopher Ian. "Interfacing a Brain Control Interface towards the Development of a Retrofitted, Low-Cost, Open Sourced, Electric Wheelchair." Thesis, University of North Texas, 2020. https://digital.library.unt.edu/ark:/67531/metadc1707240/.

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The Emotiv Insight is a commercially available, low-cost, mobile EEG device that is commonly overshadowed by its costlier counterpart, the Emotiv EPOC. The purpose of this report is to investigate if the Emotiv Insight is a suitable headset to be used as a controlling factor in conjunction with an Arduino microcontroller and various electrical components that are used towards the development of an open-sourced, affordable electric wheelchair with the primary goal of providing those who either do not have the financial resources or the physical capability to operate a traditional wheelchair due to their disability a viable option to improve their quality of life. All of the C++ code, STL files used to fabricate the 3d-printed components are uploaded to a GitHub repository as open sourced files to allow individuals with access to a 3d-printer to either build the open sourced wheelchair for their personal use, or refine the design to suit their needs.
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Koupý, Pavel. "Modulární výuková platforma pro oblast vestavěných systémů a číslicových obvodů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2021. http://www.nusl.cz/ntk/nusl-449293.

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The aim of the work is the design and implementation of two circuit boards delivering learning platforms, which will consist of two separate circuit boards with ARM MCU and a programmable FPGA gate array that will be interconnectable and appropriately complemented by peripherals. These platforms will be developed by analysing current teaching and development platform solutions and then demonstrating on practical examples. The main benefit of this work should be update and simplification of existing equipment. At the same time, there is an emphasis on greater transparency of the whole solution, so that it is not too complicated for an aspiring student to familiarise himself with modern micro-controllers and programmable gate arrays and can link the simpler units into more complex ones, where the individual boards can be used as separate working units and their interconnection will provide a computationaly stronger yet more complex device.
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Book chapters on the topic "SDP and Arduino interface"

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Ramos, Enrique. "3D Modeling Interface." In Arduino and Kinect Projects, 279–307. Berkeley, CA: Apress, 2012. http://dx.doi.org/10.1007/978-1-4302-4168-3_11.

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Koch, Grady. "Programmable LEDs—I2C Controller with EV3 Analog Interface." In The LEGO Arduino Cookbook, 71–91. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6303-7_6.

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Koch, Grady. "The LEGO Lidar—PWM Sensor with EV3 I2C Interface." In The LEGO Arduino Cookbook, 107–37. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6303-7_8.

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Koch, Grady. "The LEGO Metal Detector—I2C Sensor with EV3 Analog Interface." In The LEGO Arduino Cookbook, 49–69. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6303-7_5.

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Koch, Grady. "The LEGO Weather Station—SPI Sensor with EV3 I2C Interface." In The LEGO Arduino Cookbook, 139–56. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6303-7_9.

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da Silva, Carina Carla Aparecida Felipe, Alan Kardek Rêgo Segundo, and Vinícius Nunes Lage. "Low Cost Industrial Interface Design and Graphical Programming for Arduino." In Advances in Intelligent Systems and Computing, 37–42. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73204-6_5.

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Chavez, Victor, and Jörg Wollert. "Arduino based Framework for Rapid Application Development of a Generic IO-Link interface." In Technologien für die intelligente Automation, 21–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2020. http://dx.doi.org/10.1007/978-3-662-59895-5_2.

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Reder, Eduardo Emilio, Amilton Rodrigo de Quadros Martins, Vinícius Renato Thomé Ferreira, and Fahad Kalil. "Neural Interface Emotiv EPOC and Arduino: Brain-Computer Interaction in a Proof of Concept." In Human-Computer Interaction. Advanced Interaction Modalities and Techniques, 612–23. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07230-2_58.

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Nalavade, Sandeep P., Abhishek D. Patange, Chandrakant L. Prabhune, Sharad S. Mulik, and Mahesh S. Shewale. "Development of 12 Channel Temperature Acquisition System for Heat Exchanger Using MAX6675 and Arduino Interface." In Lecture Notes in Mechanical Engineering, 119–25. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2697-4_13.

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Mulik, Sharad S., Abhishek D. Patange, R. Jegadeeshwaran, Sujit S. Pardeshi, and Aditi Rahegaonkar. "Development and Experimental Assessment of a Fluid Flow Monitoring System Using Flow Sensor and Arduino Interface." In Lecture Notes in Mechanical Engineering, 115–22. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6619-6_12.

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Conference papers on the topic "SDP and Arduino interface"

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Elfasi, Abdulghader, Mohamed Abdussalam Shawesh, Waid T. Shanab, and Abdulaziz Khaled Thabet. "Oscilloscope using Arduino interface LabVIEW." In 2017 International Conference on Green Energy Conversion Systems (GECS). IEEE, 2017. http://dx.doi.org/10.1109/gecs.2017.8066129.

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Pataky, Maros, and Peter Fecil'ak. "Remote Arduino programming with Blockly web interface." In 2019 International Conference on Computing, Electronics & Communications Engineering (iCCECE). IEEE, 2019. http://dx.doi.org/10.1109/iccece46942.2019.8941764.

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Gargava, Parth, Karan Sindwani, and Sumit Soman. "Controlling an arduino robot using Brain Computer Interface." In 2014 3rd International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions). IEEE, 2014. http://dx.doi.org/10.1109/icrito.2014.7014713.

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Mishra, Gaurav, and D. Kaavya. "Interfacing atmospheric variables to web interface using arduino." In 2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET). IEEE, 2017. http://dx.doi.org/10.1109/icammaet.2017.8186709.

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Hernández Díaz, Nicolás, Aldo Pardo, and Oscar J. Suarez. "A real-time pattern recognition module via Matlab-Arduino interface." In The 18th LACCEI International Multi-Conference for Engineering, Education, and Technology: Engineering, Integration, And Alliances for A Sustainable Development” “Hemispheric Cooperation for Competitiveness and Prosperity on A Knowledge-Based Economy”. Latin American and Caribbean Consortium of Engineering Institutions, 2020. http://dx.doi.org/10.18687/laccei2020.1.1.646.

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Lim, Wilton, Hans Kaell Torres, and Carlos M. Oppus. "An agricultural telemetry system implemented using an Arduino-Android interface." In 2014 International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM). IEEE, 2014. http://dx.doi.org/10.1109/hnicem.2014.7016199.

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Belgamwar, Shravani, and Sahil Agrawal. "An Arduino Based Gesture Control System for Human-Computer Interface." In 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA). IEEE, 2018. http://dx.doi.org/10.1109/iccubea.2018.8697673.

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Mados, Branislav, Norbert Adam, Jan Hurtuk, and Marek Copjak. "Brain-computer interface and Arduino microcontroller family software interconnection solution." In 2016 IEEE 14th International Symposium on Applied Machine Intelligence and Informatics (SAMI). IEEE, 2016. http://dx.doi.org/10.1109/sami.2016.7423010.

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Chandra Babu, K. Murali, and P. A. Harsha Vardhini. "Brain Computer Interface based Arduino Home Automation System for Physically Challenged." In 2020 3rd International Conference on Intelligent Sustainable Systems (ICISS). IEEE, 2020. http://dx.doi.org/10.1109/iciss49785.2020.9315999.

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Jamaluddin, Anif, Louis Sihombing, Agus Supriyanto, Agus Purwanto, and M. Nizam. "Design real time Battery Monitoring System using LabVIEW Interface for Arduino (LIFA)." In 2013 Joint International Conference on Rural Information & Communication Technology and Electric-Vehicle Technology (rICT & ICeV-T). IEEE, 2013. http://dx.doi.org/10.1109/rict-icevt.2013.6741525.

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