AI Live Insight

Yes. Detected conditions generate structured service requests with detection type, location, timestamp, severity, and linked video segments. These submit directly to 311 systems so field staff receive actionable requests with visual verification evidence attached.

Video capture triggers when AI detects a specific event, with configurable pre-event and post-event buffers. A weapon detection might save video from 30 seconds before through 60 seconds after, capturing full context without continuous recording of every camera feed.

Yes. AI Live Insight integrates with the Digital Evidence Management System so event-based recordings, detection metadata, and alert records flow directly into evidence cases. This creates a seamless pipeline from real-time detection to evidence preservation and investigation.

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Pricing is based on AI Live Server instances (per GPU) and the number of camera streams. Organizations pay for processing capacity, not per camera, which provides cost predictability as camera counts grow. Custom quotes account for deployment model and detection requirements.

Yes. Phased deployment starts with a single corridor, facility, or use case using one AI Live Server instance (up to 32 cameras). Organizations validate detection accuracy, alert workflows, and operational fit before committing to broader rollout across additional camera groups.

Yes. Professional services handle camera connectivity, model configuration, detection threshold tuning, alert routing setup, and integration with 311/CRM/traffic management systems. Ongoing support includes model fine-tuning as detection requirements evolve.

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