A camera on a production line, a gate or a field can do the watching that people get tired of. We build systems that find and follow objects in real time, on a server or on the device itself, and show a person only the frames that need a decision.
How we work
01
Define what to look for
Together we decide what counts as a defect, an object or an event, and collect examples in your real conditions: light, angle and speed.
02
Train and test
We label the images, train detection and tracking models and test them on footage the model has not seen.
03
Run on site
The model runs next to the camera, sends alerts and keeps a log of what it saw, so you can check its work.
What it can do
- Quality check product on the line → camera finds the defect → item flagged or stopped
- Counting and tracking video feed → objects found and followed → counts and paths on a dashboard
- Restricted area camera on the area → person or vehicle detected → alert to whoever is on duty
Built with YOLO, OpenCV, PyTorch, edge devices