Automatic quality inspection
in the industry

Traditionally, companies rely on trained employees in the area of quality assurance. However, due to the modernization of the industry and the resulting increase in competitive pressure, the demands on quality control in production are also rising.

Challenges for testing the production process

Increasing quality requirements are also creating new challenges for the manufacturing industry. While manual inspection of production is heavily dependent on the personnel deployed, automated visual inspection offers reliable consistency and effectiveness. Automated error detection checks the quality of the product regardless of the form of the day. Integration into the production process is a particularly difficult decision for the industry. As not every stage of production can be checked separately by trained personnel, there is a risk that errors will not be detected immediately. The resulting costs could have been saved by a complete quality inspection.

Possibilities of automated quality control

With AI.SEE™, elunic offers a software solution based on artificial intelligence and deep learning that is operated with cost-efficient hardware. This approach allows the quality inspection process to be tailored specifically to a production line. This results in continuous and cost-efficient production processes that can be automatically checked for high quality requirements. This option for in-line integration into the system also offers seamless documentation of production, which can also be analyzed to optimize the process.

Leiterplatte qualitätssicherung produktion

Optical quality inspection through machine learning

A special feature of this quality control method is the inspection of components using camera systems. This purely optical process ensures seamless quality management throughout the entire production process. The software, which is based on artificial intelligence, learns and recognizes defect patterns independently, thus enabling optical quality inspection with conventional cameras. The components to be inspected do not have to be removed from the production chain and do not come into additional contact with other inspection machines. Another advantage of optical control of production processes is the seamless documentation. This allows error patterns and optimization opportunities to be logged, identified and used to optimize the production chain.