Automating Manufacturing Quality Control with Visual AI
Visual testing is commonly used in regression testing for web and mobile apps, but did you know it can also provide value in other areas? See how a major Swiss luxury brand uses uses Visual AI with Applitools to detect changes in CAD drawings and bring issues to light before they hit manufacturing production lines.
When CAD drawings are converted into PDF documents, visual bugs and regressions may surface. And when the conversion stack has a new release, the potential for regressions is amplified. Catching issues early is vital for alignment between the designers and the manufacturers.
Key takeaways:
- How visual testing with Visual AI is beneficial for applications other than traditional software testing
- Identifying visual pain points in product design and manufacturing work
- Scaling quality control with automated checkpoints for digital assets
- Understanding the full benefits of Visual AI
Our testing specialists are ready to answer your questions and explore customized use cases.
Expert Speakers
Test Automation Architect
Jerome Rieul is a Test Automation Architect for a renowned Swiss luxury brand, where he is developing an automation framework for the company’s test factory of more than 40 QA engineers. They run more than 7000 tests per week, of which roughly 4000 are UI and 3000 are API, to support more than 20 deliveries per week to 10 different software solutions. Their framework uses Visual AI for both conventional web testing as well as CAD drawing verifications.