---
title: "How to inspect machined parts with computer vision"
description: "A camera station next to the machine or at final inspection looks at each part and flags burrs, scratches, chatter marks, missing holes or threads, and chips or tool marks for a person to check. Each flag is saved with a photo and the job, machine and time, so a worn tool or a bad setup shows up sooner. A quality inspector decides every pass or rework, and the usual gauges, measuring machines and first article checks stay in place."
url: https://lidvizion.ai/answers/how-to-inspect-machined-parts-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

[Direct answers](https://lidvizion.ai/answers/)

# How can a machine shop use computer vision to inspect machined parts?

A camera station next to the machine or at final inspection looks at each part and flags burrs, scratches, chatter marks, missing holes or threads, and chips or tool marks for a person to check. Each flag is saved with a photo and the job, machine and time, so a worn tool or a bad setup shows up sooner. A quality inspector decides every pass or rework, and the usual gauges, measuring machines and first article checks stay in place.

## What this means in practice

- A camera and light set up next to the machine, at a wash station or at final inspection take pictures of each part, or a sample from each batch, from the sides that matter.
- The model is trained on the clients own parts and drawings. It flags burrs, scratches, dents, chatter or tool marks, missing or extra holes, missing threads, leftover chips and coolant, and parts placed the wrong way.
- Each flag is saved with a photo, the job or part number, the machine and the time, so the shop can see when one tool or setup starts making the same mark again and again.
- A quality inspector checks every flagged part and decides whether it passes, gets reworked or is scrapped. The camera points at the parts, not at the machinists, and any people caught in view are blurred.
- Start with one machine and one part, compare the camera flags with what the inspectors find for a few weeks, and keep the existing gauges, measuring machines, first article checks and customer quality rules in place.

## How Lid Vizion approaches it

We start with the business decision and operating context, define ownership and measurable milestones, then use configuration, integrations, automation, or custom software only where each earns its place.

## More on Automation & custom AI

- [How can a mattress or furniture maker use computer vision to inspect upholstered goods?](https://lidvizion.ai/answers/how-to-inspect-mattresses-and-upholstery-with-computer-vision/)
- [How can a distributor use computer vision to track returnable totes and crates?](https://lidvizion.ai/answers/how-to-track-returnable-totes-and-crates-with-computer-vision/)
- [How can a business use computer vision to track gas and propane cylinders in storage cages?](https://lidvizion.ai/answers/how-to-track-gas-cylinders-with-computer-vision/)

[Compare services](https://lidvizion.ai/services/) · [Use a planning tool](https://lidvizion.ai/tools/) · [Explore workflow use cases](https://lidvizion.ai/use-cases/) · [More direct answers](https://lidvizion.ai/answers/)

Talk it through

## Have a version of this question inside your company?

Bring the decision, the constraints, and what a good outcome looks like.

[Talk through the decision](https://lidvizion.ai/contact/?need=ai-workflow&from=%2Fanswers%2Fhow-to-inspect-machined-parts-with-computer-vision%2F#write) · [Book a call](https://calendar.app.google/bB26LdA9e2gmGFp69)