
Computer vision applied to operational control
Audit 100% of transactions, not a sample
POSsible Vision applies computer vision to operational control: it audits the checkout lane in real time and flags mismatches between what happens in front of the camera and what the system records.
What it solves
POSsible Vision
Manual checkout auditing reviews a tiny fraction of transactions and always after the fact. POSsible Vision analyses checkout video in real time and compares it with the receipt: when what passed through the till does not match what was charged, the system raises an event with the evidence attached, ready for review. It belongs to the same technology family as POSsible Encode — smart cameras that inspect and validate against the system record — which is why both make up the Industrial pillar of the ecosystem.
- Automatic, continuous auditing of every checkout lane.
- Real-time detection of mismatches between what was scanned and what was charged.
- Video evidence linked to each receipt and each event.
- Less shrink from operational errors and from intentional events.
- Objective performance indicators by cashier and by shift.
- Runs on the existing camera infrastructure, without slowing the operation.
- Shares its technology base with POSsible Encode, production-line inspection.

Rollout
How we put it live
A short, bounded process: assessment, configuration and hands-on support at go-live.
We survey the tills
We assess existing cameras, angles and lighting conditions.
We calibrate the models
Tuned to your real operation: product range, pace and till procedures.
You review by exception
The team spends time only on the events the system flags.
Specifications
Solution details
| Technology | Computer vision on checkout-lane video |
|---|---|
| Analysis | Real-time comparison between video events and the POS receipt |
| Evidence | Video clip attached to the transaction for each event |
| Integrations | POS/ERP, existing CCTV, POSsible Market |
Applications
Where it is used
POSsible Vision runs in operations of many sizes and sectors. These are the most common scenarios:
Industrial pillar
The same vision technology, at the till and on the plant floor
POSsible Vision and POSsible Encode share a technical base: smart cameras that inspect in real time and validate against the system record. That is why both belong to the Industrial pillar, even though the scenario Vision serves today is the checkout lane.
Automatic inspection
Real-time image analysis that does not slow the pace of the operation.
Validated against the system
What the camera sees is compared with what the POS or the ERP recorded.
On what is already installed
It uses the existing cameras where position and lighting allow it.
Current POSsible Vision deployments are checkout-lane installations. For inspection and coding on a production line, the product in the ecosystem is POSsible Encode.
Works well with
Other products in the ecosystem
Every product works on its own. Integrated, they share data and multiply the result.



