Quality Control

With AI feature-engineering is a thing of the past. Instead of providing detailed specifications and measurements for the algorithm to be able to recognize defective units, AI algorithms learn by “seeing” examples of golden units of a product and then recognize defects even if they have never occurred before.

This learning is autonomous and based on input from sensors, such as images, sounds, vibrations or other physical measurements.

With appropriate training AI can also classify defects into distinct categories enabling analysis of the root cause of any quality problem. AI adapts easily to new products, equipment and production processes without requiring reprogramming or costly manual intervention.

Our AI Bot supports quality control of any conceivable defect, e.g. surface blemishes, missing components, misalignment, or other irregularities.

Contact us to discuss how we can help you improve your quality control using artificial intelligence algorithms.