Built a real-time object detection system using computer vision that can identify and track multiple objects in images and video streams.
The system uses deep learning models to detect objects and draw bounding boxes with high accuracy. It processes frames in real-time and provides instant visual insights.
š” This solution can be used in security systems, surveillance, traffic monitoring, and smart automation.
š„ Key Highlights:
⢠Real-time object detection
⢠Bounding box visualization
⢠Fast and accurate predictions
āļø Built using Python, OpenCV, and TensorFlow.
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Posted Mar 17, 2026
Built a real-time object detection system using computer vision that can identify and track multiple objects in images and video streams.
The system uses dee...