Thèses en ligne de l'université 8 Mai 1945 Guelma

Study and Implementation of a Mobile Robot for Object Detection Based on VLC Technology

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dc.contributor.author REZAIGUIA, Oussama
dc.date.accessioned 2024-12-09T08:41:53Z
dc.date.available 2024-12-09T08:41:53Z
dc.date.issued 2024-06
dc.identifier.uri http://dspace.univ-guelma.dz/jspui/handle/123456789/16531
dc.description.abstract In this work, we studied and addressed artificial intelligence for robots. We used advanced algorithms based on deep learning and neural networks with the Python language and its libraries to train our model for fire detection. We used a Raspberry Pi as a small-embedded processor in the robot for operation, and Arduino as a microcontroller unit to establish communication with the robot through visible light communication technology, enabling us to send detection results and control the robot movement en_US
dc.language.iso en en_US
dc.publisher universitie 8 mai 1945 guelma en_US
dc.subject Artificial Intelligence, Robot, Algorithms, Deep learning, Neural Network, Fire Detection, Processor, Microcontroller, Visible Light Communication. en_US
dc.title Study and Implementation of a Mobile Robot for Object Detection Based on VLC Technology en_US
dc.type Working Paper en_US


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