AI Enabled Warehouse Counting System

MALPRACTICES  AND ERROR DETECTION

Use Case

  • Accurate counting of items such as goods packages is tedious.
  • There are simple sensor based solutions available in market to count the moving packages but these solutions are not capable to detect the correct package type. For example:
  • There is a X company labeled package should be counted as a correct item.
  • What if someone places any random similar looking package at conveyor belt. Simple sensor-based counting will not be able to differentiate between the correct company labeled package and incorrect arbitrary package.
  • Solution should be able scan the QR code placed at package and match the required data as batch number, timestamp and lot number to avoid false positive count.

AI Enabled Warehouse Counting System – Current System

  • Warehouse industry has experienced multiple error prone process and malpractice due to manual intervention at various steps.
  • Simple sensor-based solutions can be easily tempered because its rule-based behavior.
  • Integration of sensor data to current CRM or Monitoring System is another challenge.
  • Count of packages can’t be proved because of missing artifacts.

Proposed System

  • AI enabled Warehouse Counting System Solution offers smart package type detection to identify the correct company labeled package.
  • Out-of-box QR code reading to match various meta data.
  • It offers integration with any other third-party system on demand.
  • Malpractice scenarios can be configured.
  • Proof of counts can be saved as images of packages as artifacts.
  • Proof of malpractices can be saved as images as artifacts.

THANKS!

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sales@digicanesystems.com
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https://digicanesystems.com