Automatic AI quality control
in production

Efficient quality control is of crucial importance in the manufacture of products or components. End customers and the processing industry are demanding ever higher quality requirements, making inline inspections of every part produced indispensable. Many companies continue to rely on the use of trained employees. However, automated AI quality control processes are proving to be the perfect solution in many industries today.

Advantages of automatic AI quality control

Consistently high quality

Automated AI quality control guarantees precise inspection without the risk of human error or fluctuations in detection accuracy. This ensures a consistently high quality of the end product.

Cost savings

The reduced manual effort lowers personnel costs, while the assured product quality ensures low reject and repair rates.

Process optimization

The complete documentation of defects not only makes detection more precise with each image, but the data collected also helps to identify and proactively rectify problems in the production process.

Possible applications for automatic AI quality control

Thanks to state-of-the-art AI technologies, the use of automated fault detection is just as diverse as the fault patterns that occur in production. With AI.SEE™, elunic offers a software solution for automatic visual inspection that can be programmed specifically for the respective production. With extremely intuitive handling and an open system, this application for visual quality control offers the optimum automatic solution for every quality inspection. A camera and lighting system enables simple plug'n'play integration into the existing production process.

Explore AI.SEE™

Success factors for automatic AI quality control

Being able to use existing infrastructure holds enormous potential for optimizing automated AI quality control. AI.SEE™ from elunic combines various applications for error detection and error handling in a complete software product that makes more efficient use of existing hardware. Trained employees receive optimal assistance through automated error detection without relinquishing their responsibility. The system clearly indicates any errors found as well as suggestions for further possible defects. This automated approach helps employees to make more consistent and faster judgments. This leads to an alleviation of the influence of daily form and personal views. The industrial plant will reliably deliver above-average results thanks to the integration of AI.SEE™ for quality assurance.