36ZERO Vision is fully hardware‑independent, meaning it integrates seamlessly (e.g. via GenICam) with existing cameras. This ensures maximum flexibility and easy deployment across new or existing production systems.

The system typically requires only 5–20 labeled sample images to train customer‑specific defect types. This is up to 20× fewer images compared to traditional inspection systems, dramatically reducing setup time and effort.

36ZERO Vision is a supervised, multi‑stage deep learning model designed to learn actual defect patterns rather than merely detecting deviations. This approach achieves high accuracy and significantly reduces pseudo‑defects

Setup is intuitive and no‑code: users simply upload images, label defect areas, and train the model directly in the cloud platform. No programming or AI expertise is required, enabling rapid deployment by non‑technical staff.

Yes. After cloud training, the model can be deployed on-edge for real‑time inspection. It integrates effortlessly with existing production infrastructure through standardized data interfaces.