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This repository contains a car detection and tracking software implemented using YOLOv8 for object recognition and classification, along with DeepSORT for tracking. The program is capable of detecting cars, buses, trucks, and trains in real-time video streams. The model combines state-of-the-art object detection and tracking techniques.

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MyDarapy/RoadWatch-car-detection-and-car-tracking-with-computer-vision

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car-tracking-and-counting-with-Yolov8-and-DeepSORT

RoadWatch is an object detection and object tracking solution that uses computer vision techniques to recognize and track cars on a busy highway/road. RoadWatch detects, tracks, and counts the number of cars on a busy highway for traffic control and management. This solution can be interacted with using a CLI. We define flags and parameters that help control the behavior of our script.

Avaliable flags in the script:

Requirements for running RoadWatch on CLI:

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This repository contains a car detection and tracking software implemented using YOLOv8 for object recognition and classification, along with DeepSORT for tracking. The program is capable of detecting cars, buses, trucks, and trains in real-time video streams. The model combines state-of-the-art object detection and tracking techniques.

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