Analyses dataDemonstrationDEMO

Object and event detection in video

Detects specified objects and events in video so an operator can work with alerts instead of reviewing every recording.

Computer visionMachine learningObject tracking

Problem it solves

Long manual review of video archives and late discovery of important events.

Inputs

Camera streams or recordings plus configured object classes or event rules.

Outputs

Events, timestamps, video clips, and alerts for an operator or an external system.

How it works

A detector finds objects in frames, a tracker connects them across frames, and rules create events. A person reviews ambiguous cases and makes decisions.

  1. Video from cameras
  2. Object detector and tracker
  3. Event rules
  4. Event database and video clips
  5. Dashboard, API, or notificationoptional

Limits and boundaries

Quality depends on camera angle, lighting, resolution, object density, and selected classes. It does not replace operator review in critical cases.

Infrastructure requirements

Demonstration guide: GPU with 8 GB VRAM or more, 16 GB RAM, a modern CPU, and SSD storage. Performance, resolution, FPS, and stream count depend on the model, data, and configuration.

Performance depends on the specific data and configuration.