Automated inspection of damage and defects
Previous solutions for visual quality control in industrial production are very complex to set up, require high investments and place high demands on the location (e.g. shielded rooms for robot arms).
Our Fraunhofer system for quality control of glossy or diffusely reflecting surfaces works completely automated and needs less than one minute for surface inspection. It categorizes the quality defects it finds using Deep Learning. The combination of deflectometry, i.e. the contact-free detection of reflective surfaces, conventional image recognition processes and Artificial Intelligence (AI) methods make our system so unique.
Flexible design and easy integration
The AI-based visual quality control features a simple, mobile and cost-efficient hardware setup that does not require any special safety precautions. The system can operate independently of ambient light. This provides you with an easy integration option into existing productions or even mobile deployability - wherever you happen to need the system.
One hundred percent test coverage and our real-time analysis make it possible to quickly detect quality defects, such as paint inclusions, in industrial production and take appropriate action early in the production process. Our system is also ideally suited for the inspection and analysis of hail damage, e.g. for automotive appraisers.
Individually adaptable for your application
We would be happy to implement our surface inspection system, consisting of scanner, video processing and AI module, for your individual application. We also offer you the retrofitting of an AI module for your already existing image processing solution. In addition, we will be happy to advise you on optimizations to your existing system. Contact us and arrange your non-binding demo appointment.