Sohan Miryalkar

Smart Security Surveillance System

This project built a "SmartSequrity Surveillance System" using OpenCV, a computer vision library in Python. The system automates tasks traditionally done manually, enhancing security and monitoring. Here's the core functionality:

• Object Detection: The system can automatically detect objects within the camera's view using computer vision algorithms. This could involve identifying people, vehicles, or other objects of interest.
• Object Tracking: Once detected, the system can track the movement of these objects within the video feed, allowing for monitoring their paths and activities.
• Object Classification: In some implementations, the system might go beyond detection and even classify the objects. For example, it could differentiate between people and animals, or categorize vehicles (cars, bikes, etc.)