Inspiration- Enhancing Safety, Supporting the Visually Impaired and Improving Security

What it does Real-Time Detection, Bounding Boxes, Frame Analysis, and Confidence Score

How we built it - Tech stack used :

1) python - for implementation 2) Yolov8 - for object detection 3) Opencv- for video capturing

Challenges we ran into -Objects partially obscured by other objects can be difficult to detect accurately.

Accomplishments that we're proud of -Adaptability to Various Environments, Enhanced security and many more

What we learned- Importance of Data Quality, Algorithm Optimization, Integration Challenges etc

What's next for Real Time Object Detection- Algorithm Enhancement, User Experience Enhancement, Continuous Learning and Improvement and many more.

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