Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204741861 ISBN 13: 9786204741864
Librería: preigu, Osnabrück, Alemania
EUR 67,10
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Artificial Intelligence and IoT Sensor-based Supervision System | An Experimental Perspective Approach | Sachin Kumar (u. a.) | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786204741864 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Feb 2022, 2022
ISBN 10: 6204741861 ISBN 13: 9786204741864
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 79,90
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 168 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204741861 ISBN 13: 9786204741864
Librería: moluna, Greven, Alemania
EUR 64,09
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kumar SachinSachin Kumar is currently working as Teaching Assistant in the Department of Computer Science and IT, Kishtwar Campus, University of Jammu. Dr. Sourabh Shastri is currently working as an Assistant Professor in the D.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Feb 2022, 2022
ISBN 10: 6204741861 ISBN 13: 9786204741864
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 79,90
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 168 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204741861 ISBN 13: 9786204741864
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 80,86
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.