Client: Large car manufacturer.
Project Duration: 6 months.
Goal: Classify fault in paint on cars in a factory.
Tech: Tensorflow, Keras, feature creation.
Classify faults in car coatings and to automatically label future faults.
Discovery workshop with experts
Simplify problem to make it solvable (from 13 categories to 2)
Humans have an error of approximately 20%.
Using votes from the experts to create labels
Create a baseline solution
Improve solution using Deep Learning
The solution of the deep learning methods was the best
The solution implemented the scanning robots
Robots give advice to employees
Reduced classification time and more time for correct labeling
The deep learning method has a 97% correct classification
85% error reduction