Trusted on the shop floor of
Put an AI coworker at every inspection station. It sees defects, compares each part against your quality rules, and guides operators before nonconformities move downstream.
Built for high-mix production, the Inspection AI Agent combines machine vision, station-aware logic, and real-time feedback so quality decisions are explained and logged where the work happens.
Instead of just flagging a bad part, the system tells the operator what changed, why it matters, and what action to take next.
Capture images or video from the station, compare them against trained samples, and detect surface, assembly, labeling, or dimensional deviations.
Show the operator what the agent sees, highlight the issue, and present a clear quality message that reduces back-and-forth and guesswork.
Log the decision, alert supervisors when needed, and retain a traceable quality record for audits, trend analysis, and continuous improvement.
Use one AI agent framework across multiple inspection jobs, product variants, and packaging states without turning the line into a science project.
Scratches, dents, pits, contamination, coating inconsistency, stains, discoloration, and other visible anomalies.
Missing parts, incorrect orientation, loose components, mismatched assemblies, and incorrect product variants.
Unreadable text, missing prints, barcode issues, serial number errors, and wrong packaging labels.
Length, width, diameter, position, and alignment deviations that can quietly push a product out of tolerance.
The workflow is designed to sit inside an operator’s normal rhythm, not interrupt it.
The agent watches the station, interprets the inspection result, and returns the decision in a form the team can act on immediately. When the part is acceptable, the workflow continues. When it is not, the line gets a clear correction path.
If you need the agent to inspect, guide, and log quality decisions without slowing the line, Intelgic can tailor the setup around your product, defect criteria, and production speed.
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