
This image captures a high-tech visual inspection system used in industrial or laboratory settings. The focus is on the sophisticated inspection equipment in the foreground, equipped with advanced optics and lighting. A technician, slightly blurred in the background, highlights the human element in the operation, suggesting a combination of human expertise and cutting-edge technology. The overall tone of the image conveys precision, attention to detail, and the importance of quality control in modern industries.
Visual Quality Inspection
Automate your manufacturing processes with AI.
Improve quality, avoid reworks and rejects, and increase throughput in production.
Improve quality, avoid reworks and rejects, and increase throughput in production.
Detect defects reliably and safeguard the highest quality standards
- Our Visual Inspection solution is based on deep learning to safeguard the highest quality standards. Inspection processes are automated using AI and ML, not only to offer reliable detection of production defects, but also to help reduce rejects and avoid human error.
- Using the very latest AI technology allows us to deliver ultimate accuracy and drastically accelerate implementation times based on pre-trained visual inspection models.
- Acting as an implementation partner, we work directly on site – alongside your people in manufacturing. Together, we optimise product quality by introducing AI-automated inspection to your production processes – importantly, you don't need to set up your own team of AI experts.
Reduce rejects and minimise material costs
Respond more quickly to quality issues in production and avoid associated reworks and wastage.
Secure the highest quality standards
A system that learns as it goes, guaranteeing ultimate accuracy even after changes in components or packaging.
Remove the burden on skilled workers
Move to the next level of automation and free up human resources to focus on key tasks.

AI-automated visual quality inspection
Case studies
Bottle defects
Glass manufacturer - within milliseconds, AI spots defects in hot-end quality control
Package labelling
Food manufacturer - AI reads label contents and compares to expected values
Weld seam
Automotive supplier - AI measures results of the welding process, reducing time taken from minutes to seconds.
Cake filling
Food manufacturer - AI predicts the amount of cream inside cakes by using thermal cameras.
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