---
title: "How to inspect battery electrode coating with computer vision"
description: "Mount cameras and steady lighting across the coating, drying or slitting line, then use a model trained on the plant own images to mark likely pinholes, streaks, uncoated spots, edge build up, scratches, wrinkles and foreign particles on the electrode foil. Each mark carries the roll, position across the web and length, so the process team can trace a repeating defect and decide which sections to cut out. The model only flags visible surface defects for people to review; it does not replace thickness, weight or electrical tests, and every safety and quality release step stays with qualified staff."
url: https://lidvizion.ai/answers/how-to-inspect-battery-electrode-coating-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

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

# How can a battery cell maker use computer vision to check electrode coating on the line?

Mount cameras and steady lighting across the coating, drying or slitting line, then use a model trained on the plant own images to mark likely pinholes, streaks, uncoated spots, edge build up, scratches, wrinkles and foreign particles on the electrode foil. Each mark carries the roll, position across the web and length, so the process team can trace a repeating defect and decide which sections to cut out. The model only flags visible surface defects for people to review; it does not replace thickness, weight or electrical tests, and every safety and quality release step stays with qualified staff.

## What this means in practice

- Mount fixed cameras and steady lighting across the coating or slitting line so the full width is covered
- Collect images that process engineers have already reviewed, for each electrode type and line speed
- Label the surface defects the quality team tracks, plus clean coating for comparison
- Log every flag by roll, position and length, and send flagged sections to qualified staff
- Add reviewed images back into training whenever a new material, coating recipe or line change 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

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