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Artificial IntelligenceLiveCrowd and traffic analytics

Crowd and traffic analytics — Temple trust

Camera analytics counting vehicles and people with privacy masking. Delivered for a temple trust client in Pune.

Location
Pune
Year
2020
Duration
7 weeks
Team
8 engineers
Interactive 3D · drag to rotate
99%
count accuracy
543
cameras
235 ms
alert latency

The challenge

Data existed but lived in spreadsheets and legacy systems, so decisions were made on instinct rather than evidence.

What we built

Built in our Motera lab, validated on a replica rig, then commissioned on site in days using YOLO and TensorRT.

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

  • Runs on-premises; no data leaves the site unless agreed
  • Designed, built and supported from Motera, Ahmedabad
  • Remote monitoring and over-the-air updates included
  • Before-and-after measurements agreed with the client up front

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.