---
title: "How to inspect door hardware with computer vision"
description: "A camera station after plating or assembly looks at each hinge, handle, knob or lockset and flags scratches, pits, uneven plating, missing screws or springs, crooked parts, wrong finishes and packs with a missing piece for a person to check. Each flag is saved with a photo and the model and batch, so repeat problems point back to a press, plating line or assembly station. A quality lead decides every pass or rework, and the usual cycle, strength, finish and listing tests stay in place."
url: https://lidvizion.ai/answers/how-to-inspect-door-hardware-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

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

# How can a hardware maker use computer vision to inspect hinges, handles and locksets?

A camera station after plating or assembly looks at each hinge, handle, knob or lockset and flags scratches, pits, uneven plating, missing screws or springs, crooked parts, wrong finishes and packs with a missing piece for a person to check. Each flag is saved with a photo and the model and batch, so repeat problems point back to a press, plating line or assembly station. A quality lead decides every pass or rework, and the usual cycle, strength, finish and listing tests stay in place.

## What this means in practice

- A camera with soft, even light takes pictures of each hinge, handle, knob, lever or lockset after plating, assembly and packing, often while it turns on a small table.
- The model is trained on the clients own models and finishes. It flags scratches, pits, dull or uneven plating, color that does not match the finish, missing screws, pins, springs or strike plates, crooked or loose parts, and packs or boxes with a missing or wrong piece.
- Each flag is saved with a photo, the model, the batch and the time, so the team can see if one press, plating line, assembly station or packer keeps causing the same problem.
- A quality lead checks every flagged piece and decides whether it ships, gets reworked or is pulled. The camera points at the product, not at workers, and any people caught in view are blurred.
- Start with one line and one model, compare the camera flags with what the inspectors find for a few weeks, and keep the existing cycle, strength, finish, fire and listing tests 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

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- [How can a blinds or shades maker use computer vision to inspect custom orders before they ship?](https://lidvizion.ai/answers/how-to-inspect-window-blinds-and-shades-with-computer-vision/)
- [How can a wheel maker or refinisher use computer vision to inspect alloy wheels?](https://lidvizion.ai/answers/how-to-inspect-alloy-wheels-with-computer-vision/)

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