Intelligence that works
Preparing your next perspective
Bring consistent visual evidence to quality decisions. Identify deviations, support inspectors and connect every finding to the production context behind it.
Detect agreed surface or assembly anomalies using repeatable image capture and representative examples.
Separate defect families and uncertain cases so inspectors can review the evidence behind a decision.
Link findings to batches, stations and review outcomes to support traceability and ongoing improvement.
Design camera, lighting and triggering around the line.
Define defect classes, tolerances and uncertain cases.
Test by product variant, production condition and defect type.
Connect reviewed outcomes to quality records and line controls.
A stack shaped around your data, operating environment and delivery requirements.
OpenCV
PyTorch
NVIDIA TensorRT
MQTTPerspectives on bringing quality inspection into your operation.
Connect people, data and constraints around a clearly defined operational problem.
Define the evidence, review criteria and actions that make the intelligence useful.
Plan deployment, ownership and feedback so the solution evolves with your operation.
Intelligence that works
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