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What is Deepomatic Video AI?

Deepomatic Video AI is a video analysis platform that uses computer vision to detect objects, track activity, and monitor events in video feeds. The tool works with live camera streams or recorded footage, automatically identifying specified objects or behaviours and generating alerts when they occur. It's designed for organisations that need to monitor physical spaces, from security teams watching multiple camera feeds to operations staff tracking activity in warehouses or retail environments. The platform handles the heavy lifting of video analysis so teams don't need to watch footage manually or hire additional monitoring staff. You can set custom detection rules based on what matters to your business, then receive real-time notifications and detailed reports on what the system finds.

Key Features

Object detection

automatically identifies and tracks specified objects or people in video feeds

Real-time alerts

notifies you immediately when detected objects or behaviours match your rules

Custom rules engine

set up detection parameters specific to your monitoring needs without coding

Report generation

creates summaries of detected events with timestamps and footage clips

Multi-camera support

monitor multiple video feeds simultaneously from a single dashboard

Live and recorded video analysis

works with both streaming camera feeds and stored video files

Pros & Cons

Advantages

  • Reduces manual video monitoring workload by automating object detection across multiple feeds
  • Freemium model lets you test the platform before committing to paid tiers
  • Custom rules mean you can configure detection for your specific use case rather than using generic presets
  • Real-time alerts enable faster response to incidents or anomalies

Limitations

  • Accuracy of detection depends on video quality, lighting conditions, and how well you've defined your rules
  • Setup and rule configuration require some initial effort to get results tailored to your environment
  • Pricing details for paid tiers aren't publicly clear, so costs at scale may need direct inquiry

Use Cases

Security and loss prevention: monitoring retail stores or facilities for unauthorised access, theft, or safety violations

Warehouse operations: tracking equipment movement, identifying congestion, or monitoring compliance with safety procedures

Facility management: detecting occupancy patterns, monitoring restricted areas, or tracking maintenance activity

Traffic and crowd management: monitoring public spaces or events for congestion or unsafe behaviour

Incident investigation: analysing recorded footage to review what happened during specific events