Abstract:

In modern urban environments, monitoring and managing vehicular traffic is crucial for ensuring efficient transportation systems. This research paper explores the development and implementation of a Realtime vehicle detection, tracking, and counting system using computer vision techniques. The system employs the YOLOv3 (You Only Look Once) neural network for object detection and a custom Euclidean distance tracker for object tracking across video frames

Description:

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