Understand What's Happening Inside Your Video Streams
Most camera networks capture everything and understand nothing. AiVision360 changes that.
Most camera networks capture everything and understand nothing. AiVision360's Analytics layer changes that by running dedicated detection models on every connected camera, watching for the specific risks relevant to that exact zone, in real time, as footage streams in rather than after it's recorded.
Each camera can be configured independently. A camera on a drill floor can watch for PPE compliance and falls. A camera on a retail floor can watch for theft and restricted-area access. A camera in a control room can watch for fire, smoke, and unattended zones. Because AI model assignment happens per camera rather than as one blanket rule across a site, every zone gets exactly the detection coverage it needs, no more, no less.
Every detection the system makes is transparent. Alongside each flagged event, AiVision360 attaches a confidence score, so a reviewer can see how certain the AI actually is, rather than treating every alert as equally reliable. Combined with an annotated snapshot and a short video clip, an operator can verify what happened without digging through raw, unindexed footage.
What It Covers
- Real-time object and behavior detection across every connected camera
- Per-camera, per-zone model configuration
- Confidence-scored detections with visual evidence attached
- Structured, timestamped incidents routed through your escalation chain
- Dashboards and reporting on detection activity over time
See the full platform, on your own feeds.
One walkthrough covers AI detection, compression, modules, and edge — tailored to your site.
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