Skip to content
Artificial IntelligenceDeliveredCrowd and traffic analytics

Crowd and traffic analytics — Stadium

Camera analytics counting vehicles and people with privacy masking. Delivered for a stadium client in Chennai.

Location
Chennai
Year
2026
Duration
25 weeks
Team
4 engineers
Interactive 3D · drag to rotate
96%
count accuracy
612
cameras
503 ms
alert latency

The challenge

Existing vendors had delivered pieces of a crowd and traffic analytics system, but nobody owned the integration and the pilot had stalled.

What we built

We ran a two-week discovery sprint, then built and fielded the system end to end on YOLO, DeepStream and TensorRT, with operator training and an SLA.

Delivery timeline

  1. Phase 1

    Discovery sprint and site survey

  2. Phase 2

    Prototype built and tested in the Motera lab

  3. Phase 3

    Pilot on site with before/after measurement

  4. Phase 4

    Scale-out, training and handover

Highlights

  • Before-and-after measurements agreed with the client up front
  • Remote monitoring and over-the-air updates included
  • Designed, built and supported from Motera, Ahmedabad
  • Documentation, drawings and source handed over at close

Have a problem that needs a machine built for it?

Tell us the constraint — line speed, accuracy, environment, deadline. An engineer will read it and reply with a straight answer, including when the answer is that you don't need us.

We reply to every enquiry within one business day.