Security

Turn surveillance feeds into real-time protection.

Turn surveillance streams into proactive security. Expert annotation powers models for real-time threat detection and biometrics.

Applications

intelligent-surveillance.mp4 Live preview

Assign unique track IDs to each person or vehicle, using 2D boxes or polygons to train models that track objects continuously in complex scenes.

Annotate CCTV video, multi-camera streams, and LiDAR together to cover a full site.

Pre-label people and vehicles, then hold their track IDs across cameras and frames.

Validation and review catch missed events and ID switches before data reaches your model.

Share long surveillance footage across annotators and reviewers, each with the right permissions.

Define custom classes for threats and zones, and connect to your VMS or ML stack via API.

Keep surveillance footage confidential, with on-premise deployment for sensitive sites.

Rectangular boxes that detect and classify people, vehicles, and suspicious objects in real-time surveillance.

Facial keypoints that train biometric identification and access control with high accuracy.

Connected keypoints that model the human skeleton to recognize actions and detect suspicious behavior such as fights, falls, and break-ins.

Pixel-wise separation of each subject to track a specific person through dense crowds and occlusion.

Flexible shapes that precisely define no-go zones where any activity triggers an alarm.

Spatial labeling of LiDAR data builds infrastructure-protection systems that work in total darkness or fog.

Lines that mark territory boundaries and virtual tripwires, flagging perimeter breaches automatically.

Rotated rectangles that capture the size and heading of vehicles seen from drones or at sharp CCTV angles.

A mix of annotation methods built around your specific surveillance or biometrics task.

Book a demo and we'll scope your surveillance dataset with you.

Custom solution? hello@keylabs.ai