Demo videos, customer stories, and behind-the-scenes looks at our models running in production. No slides, just real footage.
Detect, count, and track pedestrian movement across intersections, corridors, and public spaces.
Identify and classify vehicle types, measure volume and directional flow – on the cameras you already operate.
Identify vehicle incidents and pedestrian accidents in real time – with automatic alerts to TMC, EOC, and dispatch.
Flag vehicles encroaching on bike lanes, bus lanes, or restricted curbside zones – timestamped, ready for enforcement.
Crowd density, anomaly aggregations, and flow tracking – for public spaces, transit, campus dismissals, and events.
Identify vaping behavior in restrooms and locker rooms with sensor-paired CV. Timestamped record, no student identification.
Identify visible firearms and generate immediate coordinated alerts to safety, administration, and law enforcement.
Detect physical altercations in real time and notify safety dispatch – for parks, transit, schools, and retail floors.
Track checkout queue depth and wait times in real time – enabling labor reallocation before customer experience degrades.
Count and classify customers by anonymous demographic indicators to inform assortment, staffing, and conversion analysis.
Count and direction-track passengers at transit hubs, retail entries, and event venues – anonymous, real-time.
Flag bags, packages, or objects left unattended in common areas, hallways, and transit – supporting public-safety protocols.
Detect patient or visitor falls in corridors, ER waiting rooms, and senior-care facilities. Real-time alerts, no facial recognition.
Track patient flow and queue density in waiting rooms and registration areas – without storing identifiable footage.
How nureal turns existing cameras into intelligence without storing video, retaining identifiable frames, or building a persistent identity record.
Talk to our expert team and start trying models today – go live in a week!