Systems that see, measure, and decide.
We have shipped vision systems for racket-sport tracking, garment quality control, rail-track monitoring, dock turnaround, defect detection and LiDAR lane detection. They run as web services, as desktop apps, and on-device at the edge.
Demo accuracy and production accuracy are two different problems. We build for the second one: bad lighting, awkward angles, motion blur, and the edge cases that only ever show up on a real line.
- PyTorch
- YOLO
- OpenCV
- Detectron2
- TensorRT
- ONNX
- Edge AI

What you get
- A trained model with honest accuracy numbers on your own footage
- Deployment as a service, an app, or on edge hardware at the line
- A retraining path that improves the model as your data grows
- Straight reporting on where it fails, not just where it wins




