Defective components can cause major production losses. To prevent this, an algorithm can recognize patterns and distinguish faulty parts from faultless ones at an early stage.
Defective parts are the major reasons for expensive factory downtimes.
A camera in the production process could take standardized pictures of car parts and Machine Learning algorithms could identify defective parts at an early stage.
Defective parts are identified before the car part arrives at the production stage and prevents expensive downtimes.