JingyibySUTsoftware/Yolov5-deepsort-driverDistracted-driving-behavior-detection
A deep-learning system using YOLOv5 and Dlib facial landmark detection to monitor driver fatigue and distracted behaviors such as phone use, smoking, and drinking.
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The system performs fatigue detection by analyzing facial landmarks via Dlib to measure eye closure and yawning frequency, applying the PERCLOS model to evaluate drowsiness. It detects distracted behaviors including phone usage, smoking, and drinking using a YOLOv5 object detection model with DeepSort tracking. A PyQt5 interface provides real-time monitoring and visual warnings to the driver.
Frequently asked
- What is JingyibySUTsoftware/Yolov5-deepsort-driverDistracted-driving-behavior-detection?
- A deep-learning system using YOLOv5 and Dlib facial landmark detection to monitor driver fatigue and distracted behaviors such as phone use, smoking, and drinking.
- Is Yolov5-deepsort-driverDistracted-driving-behavior-detection open source?
- Yes — JingyibySUTsoftware/Yolov5-deepsort-driverDistracted-driving-behavior-detection is open source, released under the GPL-3.0 license.
- What language is Yolov5-deepsort-driverDistracted-driving-behavior-detection written in?
- JingyibySUTsoftware/Yolov5-deepsort-driverDistracted-driving-behavior-detection is primarily written in Python.
- How popular is Yolov5-deepsort-driverDistracted-driving-behavior-detection?
- JingyibySUTsoftware/Yolov5-deepsort-driverDistracted-driving-behavior-detection has 669 stars on GitHub.
- Where can I find Yolov5-deepsort-driverDistracted-driving-behavior-detection?
- JingyibySUTsoftware/Yolov5-deepsort-driverDistracted-driving-behavior-detection is on GitHub at https://github.com/JingyibySUTsoftware/Yolov5-deepsort-driverDistracted-driving-behavior-detection.