An Innovative Smart System for The Safety of Driver
| dc.contributor.author | Mekhalfia, Mohamed Zakaria | |
| dc.contributor.author | Reporter: Gadri, said | |
| dc.date.accessioned | 2023-07-17T08:07:28Z | |
| dc.date.available | 2023-07-17T08:07:28Z | |
| dc.date.issued | 2023-06-10 | |
| dc.description.abstract | This project proposes an innovative and advanced system for the field of smart vehicles and transportation. The system uses advanced AI-based techniques to detect the driver's state, the level of LPG, internal temperature, humidity, the safe distance from other vehicles, speeding, the distance traveled requiring rest, and other options. The objectives of this project are to ensure the safety of the driver, the vehicle, and other vehicles on the road, while minimizing human and material damage caused by road accidents. This project can be considered as an important step in the search for more effective and intelligent road safety solutions. | en_US |
| dc.identifier.uri | http://dspace.univ-msila.dz:8080//xmlui/handle/123456789/40539 | |
| dc.language.iso | en | en_US |
| dc.publisher | University of M'sila | en_US |
| dc.subject | Drowsiness Detection, Deep Learning, CNN, Computer Vision. Road safety, Leak detection, Smart vehicles. | en_US |
| dc.title | An Innovative Smart System for The Safety of Driver | en_US |
| dc.type | Thesis | en_US |