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Instance Segmentation for security systems
Instance segmentation can enhance security systems by providing accurate object detection, tracking, and analysis capabilities, ultimately improving overall security and safety.
Use case examples:
Intrusion Detection
Instance segmentation can accurately detect and segment individuals or objects entering restricted areas, allowing security personnel to respond promptly to potential security breaches.
Object Recognition and Tracking
Image instance segmentation enables the identification and tracking of specific objects or individuals within surveillance footage, aiding in the monitoring of suspicious activities and enhancing situational awareness.
Crowd Monitoring
Instance segmentation assists in monitoring crowds in public spaces or events by segmenting and tracking individuals, enabling security personnel to identify and respond to potential security threats or emergencies more effectively.
Check out our instance segmentation demo and see what computer vision can do! All you have to do is upload an image, and the deep learning model will take it from there, segmenting the image and detecting all the objects with labels.
Follow these steps to test the demo:
1
Upload an image.
2
Click "Process file" and get the result.