The difficult problem
Production panels required reliable, sub-second defect inspection without requiring a historical training dataset.
← All systemsVision & Edge AI
Manufacturing computer vision
PV-Inspect
An inline visual inspection system for appliance control panels using reference-based computer vision.
VisionEdgeInfrastructureResearch
Built around the hard part
The constraint shaped the intelligence.
The intelligence built
Industrial capture, feature matching, homography alignment and structural differencing compare every unit to a golden template.
How the system works.
The model is one layer. The value comes from connecting inputs, intelligence and production action as one accountable system.
Triggered camera capture
Acquire and structure the operating signal.
SIFT and ORB keypoints
Transform it through the model, rules and control layer.
Homography and SSIM inspection
Deliver a decision, artifact or action into production.
Where it runs
Industrial GigE camera, controlled lighting, Jetson edge compute and conveyor PLC synchronization.
What it changes
A zero-training-data path to automated inline inspection.
Production stack
PythonOpenCVCUDANVIDIA JetsonGigE VisionPyQt
Explore the next system