Doberman®is a sound measurement automation solution based on deep learning, which dramatically decreases human interference and an initial preparation process.
According to the unique feature of a component to be measured, three programs are provided to decide whether it is defective or not.
Converts a component’s sound measurement data extracted from test equipment to images
Analyzes input image data and builds up the right measurement algorithm for a component
Determines whether products are defective
or not, using its unique measurement algorithm
Production line check function
Doberman always provides a certain standard of judgement, so it is easy to identify problems in the production line. 
The most frequent value of an abnormal score deviates from the initial reference line.
→ Need to review production line issues
From Production Management to Brand Value Management
Detecting defects in advance in the production process of home appliances and automobiles dramatically reduces the cost of managing customer claims and replacing complete products. It is also helpful for building up a credible brand image.* The case of the automobile company A
About 20% of the whole customer claims are on noise
(After the 1st repair) The re-repair rate is about 46%
About 32% of the products are sent to the central A/S center
From Production Management to Brand Value Management
Detecting defects in advance in the production process of home appliances and automobiles dramatically reduces the cost of managing customer claims and replacing complete products. It is also helpful for building up a credible brand image.
* The case of the automobile company A
 |  |  |
About 20% of the whole customer claims are on noise | (After the 1st repair) The re-repair rate is about 46% | About 32% of the products are sent to the central A/S center |
