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47 / Hardware & IoT

AI X-Ray Defect Inspection for Metal Castings

We built an X-ray inspector for metal castings that spots defects right on the production line, running on edge hardware so the X-ray images never have to leave the plant.

Built by
360 Labs (Internal)
Stack & approach
Computer VisionX-RayDefect DetectionEdge InferenceOn-Prem
Interface screens from AI X-Ray Defect Inspection for Metal Castings
Interface, from the 360Labs case-study deck (page 58).

The problem

Defect inspection of castings depends on operator judgement, and image data cannot leave the plant for cloud processing.

Solution & architecture

An on-device vision model inspects X-ray captures at the line, flagging defects in real time with no cloud round-trip. The model is trained on plant data and deployed on edge hardware, so defect flags route into line QC with no image egress from the facility.

Why it is built this way

  • Inference on the line

    Edge hardware, no cloud round-trip

  • Images never leave

    No X-ray egress from the plant

  • Trained on plant data

    Tuned to the real production line