Each use case ships with a demo video, model specs, and the industries it's been deployed in. Click any thumbnail to watch it in action.
Detect, count, and track pedestrian movement across intersections, corridors, and public spaces – producing demographic and flow-direction analytics city planners use for Vision Zero, route planning, and infrastructure decisions.
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Track checkout queue depth and wait times in real time – enabling labor reallocation decisions and identifying service bottlenecks before customer experience degrades.
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Identify vehicle incidents and pedestrian accidents in real time as they occur, triggering automatic alerts to TMC, EOC, and first responder dispatch with visual confirmation.
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Identify vaping behavior in restrooms, locker rooms, and other monitored spaces and generate timestamped records for administration and insurance reporting – with no student identification.
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Detect patient, customer, or employee falls in corridors, ER waiting rooms, store floors, and senior-care facilities. Real-time alerts with timestamped visual record – privacy-by-design edge processing.
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Count and classify customers entering and exiting by anonymous demographic indicators – supporting assortment planning, staffing decisions, and conversion analysis. Aggregated only, never per-individual.
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Measure crowd density, detect abnormal aggregations, and track flow patterns in public spaces, parks, transit stations, event venues, and during school dismissal.
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Detect vehicles encroaching on bike lanes, bus lanes, or restricted curbside zones and generate timestamped violation records for enforcement, curbside management, and Vision Zero reporting.
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Autonomous agents that chain incident triage, report generation, and multi-system handoffs – removing manual triage from operations across cities, schools, and stores. Detect → classify → correlate → notify → audit, without human stops in the middle.
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Reason across detections to surface patterns operators would otherwise miss. Aggregate signals over time and across cameras to flag the events that matter, with summary context attached and audit trails generated automatically.
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Surface insights from operational data your organization already has – sensor logs, incident reports, historical records – using retrieval-augmented generation. No new data collection. New value from data already flowing.
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Ask in plain language: "Show me all vehicles that stopped in the bike lane on Main Street between 6 and 9 AM last Tuesday." The platform answers in seconds. No SQL, no analyst in the middle, no dashboard built specifically for the question.
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Talk to our expert team and start trying models today – go live in a week!
