Same platform, applied to operational problems.
Brightsight is a platform for computer vision and tracking. Security is one application; these operational use cases are another — the same pipeline, applied where the value is the consequence of a detection, not the detection itself.
Fraud detection at self-checkout.
A computer-vision overlay on retail checkouts that detects unscanned items, suspicious gestures, and the patterns of shrink that retail-loss teams care about. Deployed at retail networks where self-checkout shrink is a measurable line item.
What it does
- 01Real-time detection of unscanned items at self-checkout lanes.
- 02Gesture analysis to flag suspicious behavior before the transaction closes.
- 03Shrink-pattern analytics across stores and time windows.
- 04Integration with the loss-prevention workflow the operator already runs.
Restock from a photo.
A jewellery retailer keeps every display tray stocked without manual counts. Staff snap a phone photo of a half-empty tray; Brightsight reads which pieces are missing and pushes the replenishment order straight into the ERP — reordering happens on its own, with no scanning and no stock-takes.
Asset and personnel tracking via Bluetooth.
A Bluetooth-based real-time location layer for tracking equipment and people in critical sites — paired with Brightsight's video stream where presence and identity need to correlate. Deployed at industrial sites that need to know where their forklifts, tools, and personnel are at any moment.
What it does
- 01Continuous location of tagged assets and personnel across the site.
- 02Correlation with the camera feed where identity and presence both matter.
- 03Zone-based alerts when assets leave or enter defined areas.
- 04Asset-management dashboard integration via API.
If it's a vision or tracking problem, and it has to run on the hardware you already own, we can build the application.
The pipeline is general. The model gets tuned to the scene. The output gets packaged for the system that has to act on it. Tell us the problem and we'll tell you whether we're the right team to solve it.