How can a plastics molder use computer vision to check parts coming off the press?

---
title: "How to inspect injection molded parts with computer vision"
description: "Put a camera and steady lighting where parts leave the press or robot, then use a model trained on the plant own part images to mark likely short shots, flash, sink marks, burn marks, black specks, warping and missing features. Each mark is tied to the press, mold and cavity where the tool tracks it, so the process tech can spot a drifting cavity early and a trained inspector can confirm whether to pass, sort or scrap the parts. The model only flags parts worth a closer look; it never releases a lot on its own, and the existing dimensional checks and quality sign-off stay in place."
url: https://lidvizion.ai/answers/how-to-inspect-injection-molded-parts-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

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

# How can a plastics molder use computer vision to check parts coming off the press?

Put a camera and steady lighting where parts leave the press or robot, then use a model trained on the plant own part images to mark likely short shots, flash, sink marks, burn marks, black specks, warping and missing features. Each mark is tied to the press, mold and cavity where the tool tracks it, so the process tech can spot a drifting cavity early and a trained inspector can confirm whether to pass, sort or scrap the parts. The model only flags parts worth a closer look; it never releases a lot on its own, and the existing dimensional checks and quality sign-off stay in place.

## What this means in practice

- Set up a fixed camera and steady lighting at the press or conveyor so each part is captured the same way
- Collect images of parts that inspectors have already passed or rejected, for each mold and resin
- Label the defect types the quality team tracks, plus good examples of each part
- Send flagged parts to a trained inspector and log flags by press, mold and cavity
- Add reviewed images back into training whenever a new mold, resin or color 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 tile maker use computer vision to sort tiles for surface defects and shade?](https://lidvizion.ai/answers/how-to-inspect-ceramic-tiles-with-computer-vision/)
- [How can a print shop or packaging printer use computer vision to catch print defects on the press?](https://lidvizion.ai/answers/how-to-check-print-quality-with-computer-vision/)
- [How can a commercial laundry use computer vision to check sheets, towels and uniforms before they ship?](https://lidvizion.ai/answers/how-to-inspect-laundered-linens-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-injection-molded-parts-with-computer-vision%2F#write) · [Book a call](https://calendar.app.google/bB26LdA9e2gmGFp69)