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In the present situation, the world is moving towards digitalization where everything is made smart, easy, and comfortable for people of every age group. This book presented an experimental approach for smart supervision systems using Internet of Things (IoT) integration with Artificial Intelligence, Computer Vision, and Deep Learning. The most crucial devices that have been used to implement the experiments are Raspberry Pi, ESP8266 NodeMCU Microcontroller, and Arduino Microcontroller whereas, the sensors that were used for the same are PIR, Flame, MQ2, and Ultrasonic. Furthermore, the programming languages used for the experiments were Python, Arduino (C/C++), HTML, and CSS.
| Autorius: | Sachin Kumar, Sourabh Shastri, |
| Leidėjas: | LAP LAMBERT Academic Publishing |
| Išleidimo metai: | 2022 |
| Knygos puslapių skaičius: | 168 |
| ISBN-10: | 6204741861 |
| ISBN-13: | 9786204741864 |
| Formatas: | 220 x 150 x 11 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Artificial Intelligence and IoT Sensor-based Supervision System: An Experimental Perspective Approach“
