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NetraVisionby Hypotenuse Analytics

Solutions · Commercial · Tier 1

Retail & Malls

Pocket theft, fitting-room losses, queues at billing, and no way to review hours of footage.

Crowd moving through a multi-level shopping mall

How NetraVision helps (3 capabilities)

Flag moments that look wrong — a guard reviews a short clip

Fitting-room entrance counting (nothing inside rooms)

Staff conduct by zone, not by person

Representative use cases

Crowd & density intelligence

Real-time density estimation, congestion and bottleneck detection, unusual crowd movement and zone occupancy.

Person & object search

Search authorised attributes across cameras — missing-person support, abandoned-object detection, incident retrieval.

Parking & vehicle intelligence

Vehicle movement, parking occupancy, wrong-way movement and suspicious vehicle activity.

Queues & event intelligence

Billing queues, entrances and exits during sales and events, with command-centre prioritisation.

Incident investigation

Search historical footage by time, camera, location and context — reconstruct events across cameras.

Typical data inputs

CCTV/VMS, access control, parking systems, event schedules, audio where permitted, GIS.

A scenario

When a concealment moment happens at an aisle, how do you respond today — and how fast could a clip reach the guard?

What a pilot measures

  • Alerts per camera per day
  • Share confirmed real on review
  • Past incidents found by search

Face recognition is not used here by default — behaviour and counts, not faces or profiles.

Event: Free trial onboarding · 30 min [MOCK] · IST slots · UTM captured · team alerted on booking [MOCK scheduler embed — connect Cal.com/Calendy here]

10 days · up to 8 cameras · we'll help you connect them.

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