What needed solving
To segregate more than 40,000 stickers a day with 30 variants in the running production line an AI-powered vision system was developed.
How Qualitas solved it
In the process of segregation, with the help of image-based inspection, the defective stickers were routed to rejection bins.
Deployment of this system helped in achieving desired inspection time, on the other hand, it freed human resources that can be utilized for other tasks.
Overview
To segregate more than 40,000 stickers a day with 30 variants in the running production line an AI-powered vision system was developed. In the process of segregation, with the help of image-based inspection, the defective stickers were routed to rejection bins. Deployment of this system helped in achieving desired inspection time, on the other hand, it freed human resources that can be utilized for other tasks.
Parameters To Be Inspected
- Color of the sticker
- Design of the stickers
Defects
- Cuts on the stickers
- Smudged prints
- Pinholes
- Dull or fade colored stickers have to be rejected from the line)
