JLI vision developed an automated inspection system for megacastings
The system uses 2D, 3D, and AI to detect surface defects and measure dimensions in 80 seconds.
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Advanced vision systems for industrial quality control
jlivision.comLast updated
In short: JLI vision celebrated its 40th anniversary and advanced its quality control portfolio with new AI-driven inspection and 3D modeling tools.
The system uses 2D, 3D, and AI to detect surface defects and measure dimensions in 80 seconds.
The AI system detects chips and cracks in injection pen cartridges. It enables validation through image preprocessing, monitoring, annotation standards, and documentation.
They automated glulam board inspection for a manufacturer using machine learning trained on 30,000 images, surpassing success criteria and improving quality.
It highlights environmental goals like climate neutrality by 2030, EcoVadis gold medal, employee wellness initiatives, and governance ethics.
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