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.