Please use this identifier to cite or link to this item: http://dspace.univ-guelma.dz/jspui/handle/123456789/16531
Title: Study and Implementation of a Mobile Robot for Object Detection Based on VLC Technology
Authors: REZAIGUIA, Oussama
Keywords: Artificial Intelligence, Robot, Algorithms, Deep learning, Neural Network, Fire Detection, Processor, Microcontroller, Visible Light Communication.
Issue Date: Jun-2024
Publisher: universitie 8 mai 1945 guelma
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
URI: http://dspace.univ-guelma.dz/jspui/handle/123456789/16531
Appears in Collections:Master

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