---
title: "How to check EV charging stations with computer vision"
description: "A fixed camera at each site, or photos taken by the field tech or site staff on a set round, feed a model trained on the owner own images. It marks likely problems such as cut, kinked or dangling cables, connectors left on the ground, broken holsters or covers, dark or cracked screens, missing signs, damaged bollards and bays blocked by trash or by vehicles that are not charging. Each flag is tagged with the charger ID and a photo, and it can be checked against the status the charger reports, so the team knows which faults need a visit and which can be fixed remotely. Aim cameras at the chargers and bays, and blur any person or plate before photos are stored. A field tech or site lead reviews the flags and decides what to fix and when. The model does not replace electrical checks, the charger fault logs or safety rules, and people make every repair and safety call."
url: https://lidvizion.ai/answers/how-to-check-ev-charging-stations-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

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

# How can a charging network, fleet depot or property owner use computer vision to find chargers that need attention?

A fixed camera at each site, or photos taken by the field tech or site staff on a set round, feed a model trained on the owner own images. It marks likely problems such as cut, kinked or dangling cables, connectors left on the ground, broken holsters or covers, dark or cracked screens, missing signs, damaged bollards and bays blocked by trash or by vehicles that are not charging. Each flag is tagged with the charger ID and a photo, and it can be checked against the status the charger reports, so the team knows which faults need a visit and which can be fixed remotely. Aim cameras at the chargers and bays, and blur any person or plate before photos are stored. A field tech or site lead reviews the flags and decides what to fix and when. The model does not replace electrical checks, the charger fault logs or safety rules, and people make every repair and safety call.

## What this means in practice

- Start with one site or a few busy chargers.
- Label photos from your own sites for cable damage, broken holsters, dark screens and blocked bays.
- Tag each flag with the charger ID.
- Blur people and plates before photos are stored.
- Compare flags with charger fault logs before sending a tech.

## 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 vending or micro market operator use computer vision to see what needs restocking before a route?](https://lidvizion.ai/answers/how-to-check-vending-machine-stock-with-computer-vision/)
- [How can a restaurant group, commissary or food service site use computer vision to check walk-in coolers and freezers?](https://lidvizion.ai/answers/how-to-check-walk-in-coolers-with-computer-vision/)
- [How can a golf course, sports field or grounds crew use computer vision to keep track of turf condition?](https://lidvizion.ai/answers/how-to-monitor-turf-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-check-ev-charging-stations-with-computer-vision%2F#write) · [Book a call](https://calendar.app.google/bB26LdA9e2gmGFp69)