anmspro/Traffic-Signal-Violation-Detection-System
A computer vision system that uses YOLOv3 to detect vehicles running red lights from video footage.
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A traffic signal violation detection system that analyzes video footage using computer vision techniques. It employs YOLOv3 deep learning object detection to identify vehicles and determine whether they have violated traffic signals. The system includes a graphical user interface built with Tkinter and uses OpenCV for video processing and TensorFlow as the underlying ML framework.
Frequently asked
- What is anmspro/Traffic-Signal-Violation-Detection-System?
- A computer vision system that uses YOLOv3 to detect vehicles running red lights from video footage.
- Is Traffic-Signal-Violation-Detection-System open source?
- Yes — anmspro/Traffic-Signal-Violation-Detection-System is open source, released under the GPL-3.0 license.
- What language is Traffic-Signal-Violation-Detection-System written in?
- anmspro/Traffic-Signal-Violation-Detection-System is primarily written in Python.
- How popular is Traffic-Signal-Violation-Detection-System?
- anmspro/Traffic-Signal-Violation-Detection-System has 485 stars on GitHub.
- Where can I find Traffic-Signal-Violation-Detection-System?
- anmspro/Traffic-Signal-Violation-Detection-System is on GitHub at https://github.com/anmspro/Traffic-Signal-Violation-Detection-System.