Absent or Present Checks on Can Cap

The classification module of Neurocle Deep Learning can also be applied to the FMCG (Fast-Moving Consumer Goods) industry as well.

In the FMCG industry, typical vision checks would be on essential items such as sealings, printouts, artwork, scratches, breakages.. Etc

The commonly known objective of the checks are listed below as well:

  • Ensuring quality of product
  • Achieving conformance to regulatory requirement
  • Maintaining desired branding through product representation
  • Instilling confidence in consumers

In today’s example, we would be showing how Neurocle Deep Learning would be able to identify Can Caps on a drink can. The process of implementing such checks can be found in this article.

Classification– Vision Inspection of Can Cap


Neurocle Deep Learning AI Inspection proves to be able to identify cans that are manufactured with or with caps.

Do feel free to contact Zincode for an evaluation should you like to explore the idea of implementing deep learning inspection in any areas.

Thanks and stay safe!

Salesperson: Quek, 9113 3566
Email: sales@zincode.net