Backgrounds:

Bad packaging not only stops customers from buying products but also damages the corporate image, leading the company to bear an economic loss in the long run. For example, a packaging box missing a production date or expiration date is simply just not acceptable. This will immediately lead to customer complaints and customers loss and hurt the company’s reputation. Therefore, each manufacturer takes great importance in the inspection process of product packaging.

DeepVision adopts both conventional and deep-learning algorithms, which jointly and effectively catch all types of defects and make subtle flaws visible. This greatly improved the accuracy and efficiency of our OCR process and make our visual inspection machine stands out from the rest.

Detectable products:
food packaging, pharmaceutical packaging, cosmetics packaging, and other types of packaging.

Detectable types of defects:
missing character, skewed character, overlapped character, blurred character.

Values:
1.machines replace workers can greatly improve efficiency and reduce labor cost.
2.The inspection process of laser marking character and steel seal character is fully automated with a high speed and accuracy higher than 99%.
3.Both conventional and deep-learning algorithms.