Visual inspection is the last manual judgement in an otherwise automated process, and it varies by inspector, by hour and by fatigue. The alternatives are worse: rules based optical systems that need reprogramming for every new build, or cloud services that meter you per image and ask you to send your product imagery outside the plant.
Nextoar inVision runs defect, label and compliance inspection at the edge, inside your facility, on hardware you own.
inVision detects surface defects, damage, cosmetic deviations and assembly discrepancies across boards, components, enclosures, coatings and finished units. A tiered pipeline handles the volume efficiently: fast detection models screen every unit, and heavier reasoning model is triggered only where it is needed. Throughput stays at line speed and the difficult calls still get the attention they deserve.
Wrong label, wrong revision, unreadable serial and missing marking are among the most expensive defects in the business, because they usually escape and come back as a customer complaint or a recall. inVision reads and verifies serials, part numbers, revisions, date codes and markings against the build record at the point of production, writing the result into the unit history as it goes.
You do not need to replace working capture hardware to get modern inspection. inVision is designed to sit behind existing cameras and fixtures, taking the imagery you already produce and applying current models to it. Deployment is measured in weeks rather than in capital cycles, and the cameras stay where they are.
Everything runs on edge hardware inside the facility. Product imagery, defect libraries and yield data never leave your network, which removes the per image cost of cloud inspection and the security review that comes with it. For defence, aerospace and airgapped environments, this is not a preference but a condition of entry.
Defect types change with every new build, and an inspection system that needs a vendor project for each one will always be behind the line. inVision lets your own team capture examples, define what matters and retrain for a new defect or a new product, then deploy to the edge from the same workflow. The system keeps learning at the pace your products change.
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