Detecting manufacturing defects in real time with computer vision
VALNOX / LABS / 02
Reference architecture overview
A visual inspection system combining camera integration, defect segmentation, edge inference, and quality operations.
This is not a client case study. It is a Valnox Labs reference architecture created to show production-oriented technical decisions transparently; it does not claim a delivered engagement or verified client outcome.
Data volume, latency targets, access controls, failure cost, and existing systems differ in every implementation. These layers are therefore not a recipe to copy unchanged; they identify the decisions that discovery must measure and validate. A production scope becomes concrete only with representative data, explicit success criteria, and an accountable operational owner.
01
Reference scenario
In this reference scenario, manual inspection is inconsistent and small surface defects may be missed at production speed.
02
Architecture approach
The reference architecture combines lighting and camera standards, controlled labeling, and low-latency inference at the edge.
03
Example system design
Cameras, model inference, PLC signals, alerts, and human feedback are designed as one quality loop.
