See every store at once. Without watching anyone.
Aproksha Retail Vision is computer vision for multi-store retail that surfaces shrink and unusual activity across every location, with no facial recognition. It reasons about behavior, not identities.
Why it is different
Loss prevention that respects the people in frame.
No facial recognition, ever
By design. The system reasons about behavior and roles, not identities. There are no faceprints, no biometric database, and nothing to leak.
Anonymous role inference
It tells staff, customers, and delivery apart without knowing who anyone is. That is enough context to spot what matters, without the surveillance.
Plain-language activity summaries
Instead of hours of footage, you get readable summaries of what happened, where, and when, across every store, ranked by what needs a look.
Every store at once
One dashboard spans all locations. Patterns that stay invisible store by store, like coordinated shrink or repeat incidents, surface across the whole fleet.
Motion-gated central GPU
Cameras only wake the pipeline when something moves, so one central GPU can cover many stores. It stays efficient enough to run at real scale.
On-prem or your hardware
It runs on a server in your back office or in your own cloud. Video never has to leave your premises, which is the right answer for sensitive footage.
How it works
One GPU, many stores, no surveillance creep.
01
Connect your cameras
Your existing CCTV feeds plug in. There is no new hardware on the shop floor and no rip and replace.
02
Motion wakes the model
A motion gate sends only meaningful clips to the central GPU, where activity and roles are inferred anonymously.
03
You read summaries, not tape
Each store reports up in plain language, flagged by priority, so a small team can watch a large fleet.
Run it across your stores.
We are onboarding pilot partners now. Bring a few locations and we will stand it up on your feeds, on your hardware, and show you what it catches.
Talk to us