Home / 
Error detection

Use Case

Error detection

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.

1

Process

Defective parts are the major reasons for expensive factory downtimes.

2

Algorithm

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.

3

Decision

Defective parts are identified before the car part arrives at the production stage and prevents expensive downtimes.

More Use Cases

Handwritten documents can be read out and prefilled using machine learning algorithms. By further input, these documents can be edited again, which again benefits the accuracy of the algorithm.

Electronic patient records can be evaluated using machine learning algorithms. This automatically provides doctors with suggestions for diagnoses and therapy options.

Diagnostic suggestions can be made by analyzing X-ray or MRI images using an algorithm.

Through standardized images of different leathers, a machine learning algorithm can classify leather and assign it to the right garments.


Find out what dida can do for you