Build a Dimension Measurement System with Computer Vision
Learn how to build visual measurement and checking systems with computer vision.
Add a real-time inspection layer to every cell with vision AI for machined part inspection. Built for the shops where a part that skipped op 30 looks identical to one that didn't until a customer's bolt won't start, rev B and rev C differ by one hole, and the CMM certifies five parts from a tote of five hundred. Whether you're running CNC cells, finishing operations, or packing totes for shipment, Roboflow inspects every part at cell exit, with per-part records behind every job.
Surfaces and Finish:
Features and Operations:
Cells, Tools, and Systems Integration:
Bring intelligence to every cell today. Stop machining escapes from becoming customer line-downs, quarter-wide containments, or the scorecard hit that follows the shop into sourcing season.
What is machined part inspection with Vision AI?
Machined part inspection with vision AI uses computer vision models to inspect machined parts at cell exit: chatter, tool marks, and finish anomalies, burrs and edge condition, operation completeness including drilled-versus-tapped hole verification, missed chamfers and features, part identity in high-mix cells, and cleanliness before shipment. Models trained on your actual parts inspect every piece at cycle time, with per-part records tied to job and router that support ISO 9001, AS9100, and PPAP documentation.
Can Vision AI handle a high-mix shop?
High mix is the look-alike hard case at shop scale: hundreds of active part numbers, revisions that differ by one hole or one chamfer, machined steel throwing glare from every face, and a missed op that leaves the part looking finished. Deep-learning models trained on your actual parts learn each part number's finished state, feature by feature, verify the part against the revision on the router, flag the hole that got drilled but never tapped, and hold that judgment across the mix, with new parts trained in days so the model keeps up with the quote board instead of trailing it.
Does this replace our CMM?
No. Your CMM keeps the dimensional record: the tolerances, the GD&T, the PPAP numbers, run on sampled parts at minutes per part. Vision AI adds the every-part attribute layer at cell exit: the missed op a perfect dimension can't reveal, the chatter on a face the probe never touches, the burr, the wrong-revision part, and the mix-up in the tote, at cycle time on all five hundred parts instead of the five that visit the CMM. Dimensional data and visual findings land in the same per-part record, and a drifting finish usually names the wearing insert before the CMM queue sees the part.
Can it integrate with our cell PLCs, routers, and MES?
Yes. Roboflow Inference exposes a standard API and supports common industrial protocols, so inspection events flow into your existing systems: cell and machine PLCs from Allen-Bradley and Siemens, shop management and router systems, and MES and ERP platforms like SAP and Oracle, through REST, MQTT, OPC UA, and direct database writes. PLC-level integration holds a part or flags a tote the moment a check fails, and every event carries part, job, cell, imagery, and disposition, with a full audit trail behind every shipment.
