Boubker10/SafeDriveVision
SafeDriveVision is a computer vision project aimed at enhancing road safety. This project leverages deep learning models to detect and alert in real-time the dangerous behaviors of drivers, such as using a phone while driving or showing signs of drowsiness.
SafeDriveVision helps improve road safety by using video to detect dangerous driver behaviors in real-time, like phone use or drowsiness. It takes live video feeds as input and outputs immediate alerts to the driver when risky actions are identified. This is ideal for individual drivers, fleet managers, or transportation safety officers aiming to prevent accidents.
No commits in the last 6 months.
Use this if you need a system to automatically monitor drivers for unsafe actions and provide real-time warnings to reduce accident risk.
Not ideal if you require an in-depth, post-trip analysis of driver behavior rather than immediate, real-time alerts.
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84
Forks
17
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jul 31, 2025
Commits (30d)
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