/answers/how-to-inspect-candles-and-soap-with-computer-vision/index.md · 42 lines
---
title: "How to inspect candles and soap with computer vision"
description: "A camera over the cooling rack or the packing table takes a photo of each candle or bar under even light. A model trained on the maker own images, labeled against its own specs, marks likely issues such as off-center or bent wicks, sinkholes, cracks, frosting, air bubbles, uneven tops, color that does not match the batch, chips and smudged or crooked labels. Each flag keeps its photo and is tagged with the batch, so the maker can link a run of defects to a pour temperature, a mold or a cooling spot and fix it early. Flagged pieces go to a recheck tray. The maker reviews the tray each day and decides what to rework, sell as seconds or pack. The model does not replace burn tests, safety labels or product rules, which stay in place, and people make every quality and release call."
url: https://lidvizion.ai/answers/how-to-inspect-candles-and-soap-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---
[Direct answers](https://lidvizion.ai/answers/)
# How can a candle or soap maker use computer vision to check each piece before it is packed?
A camera over the cooling rack or the packing table takes a photo of each candle or bar under even light. A model trained on the maker own images, labeled against its own specs, marks likely issues such as off-center or bent wicks, sinkholes, cracks, frosting, air bubbles, uneven tops, color that does not match the batch, chips and smudged or crooked labels. Each flag keeps its photo and is tagged with the batch, so the maker can link a run of defects to a pour temperature, a mold or a cooling spot and fix it early. Flagged pieces go to a recheck tray. The maker reviews the tray each day and decides what to rework, sell as seconds or pack. The model does not replace burn tests, safety labels or product rules, which stay in place, and people make every quality and release call.
## What this means in practice
- Start with one product and one station.
- Label photos from your own pieces against your own specs.
- Tag each photo with the batch.
- Send flags to a recheck tray before packing.
- Keep burn tests and safety labels 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 city, utility or campus use computer vision to find streetlights that are out or damaged?](https://lidvizion.ai/answers/how-to-find-streetlight-outages-with-computer-vision/)
- [How can a facilities team or HVAC service company use computer vision to check rooftop and outdoor units between visits?](https://lidvizion.ai/answers/how-to-inspect-hvac-units-with-computer-vision/)
- [How can a utility, farm, solar site or industrial yard use computer vision to check long fence lines?](https://lidvizion.ai/answers/how-to-inspect-perimeter-fences-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-candles-and-soap-with-computer-vision%2F#write) · [Book a call](https://calendar.app.google/bB26LdA9e2gmGFp69)