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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 |
Files in This Item:
File | Description | Size | Format | |
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F1_6_REZAIGUIA_OUSSAMA.pdf | 6,25 MB | Adobe PDF | View/Open |
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