Built a real-time object detection and tracking system using Python, YOLOv8, Deep SORT, and OpenCV. The application detects and tracks multiple objects in live webcam/video streams.
Built a real-time object detection and tracking system using Python, YOLOv8, Deep SORT, and OpenCV. The application detects and tracks multiple objects in live webcam/video streams with unique tracking IDs, bounding boxes, confidence scores, and real-time FPS monitoring. Developed to improve practical knowledge in Al, computer vision, and deep learning-based tracking systems.
Started working on my project: Real-Time Object Detection and Tracking System
This project is built using Python, YOLOv8, OpenCV, and DeepSORT to detect and track multiple objects in real time with high accuracy and speed.
Current progress:
Setting up the detection pipeline
Integrating object tracking
Optimizing real-time performance
Testing on live video streams
Excited to continue improving the system and adding more advanced features soon.
Started working on my project: Real-Time Object Detection and Tracking System
This project uses Python, YOLOv8, Deep SORT, and OpenCV to detect and track multiple objects in real time with high accuracy and speed.
Key Features:
Currently improving tracking accuracy and optimizing system performance for real-world applications.
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