---
title: "How to inspect circuit boards and solder joints with computer vision"
description: "Train a model on the plant own board images so it can mark likely missing or shifted parts, parts placed the wrong way round, solder bridges, too little or too much solder, and lifted leads. Each mark points to the board, side and spot on the board, so a trained inspector can look closely and decide whether to pass, rework or scrap it. The model only highlights boards and spots worth a second look; it never passes a board on its own, and the existing test and quality steps stay in place."
url: https://lidvizion.ai/answers/how-to-inspect-circuit-boards-and-solder-joints-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

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

# How can an electronics maker use computer vision to check assembled circuit boards?

Train a model on the plant own board images so it can mark likely missing or shifted parts, parts placed the wrong way round, solder bridges, too little or too much solder, and lifted leads. Each mark points to the board, side and spot on the board, so a trained inspector can look closely and decide whether to pass, rework or scrap it. The model only highlights boards and spots worth a second look; it never passes a board on its own, and the existing test and quality steps stay in place.

## What this means in practice

- Collect images of boards that inspectors have already passed or failed, on each product and line
- Label the defect types the quality team tracks, plus good examples of each part type
- Run new board images through the model and send only marked boards and spots to the inspector
- Have a trained inspector confirm or reject each mark and record the rework decision
- Add confirmed and rejected marks back into training whenever a new board design or part comes in

## 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 fish farm or hatchery use computer vision to watch tanks, ponds and pens?](https://lidvizion.ai/answers/how-to-monitor-fish-in-aquaculture-with-computer-vision/)
- [How can a conservation or land team use computer vision to sort large batches of trail camera photos?](https://lidvizion.ai/answers/how-to-sort-trail-camera-wildlife-photos-with-computer-vision/)
- [How can a utility use computer vision to review insulator photos from drone and line patrols?](https://lidvizion.ai/answers/how-to-inspect-power-line-insulators-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-circuit-boards-and-solder-joints-with-computer-vision%2F#write) · [Book a call](https://calendar.app.google/bB26LdA9e2gmGFp69)