Automatic Container Details Identification

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Customer

Logistics and Transportation Companies that handle from 100’s to 1000’s containers at their ports, warehouses, or Distribution Centers.

Project Details

  • Duration: 2 Month +

Technologies:

  • Machine learning
  • OCR
  • NLP
  • Python
  • Laravel
  • PostgreSQL
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Problem

  • Manual data entry can be slower and inaccurate, causing delays especially in peak hours at gates leading to shipment delays.
  • Wrong container details disrupt real-time inventory management & increase costs

 

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Solution

  • We developed a Computer vision-based Container details identification solution that identifies the container info in real time.
  • Created a solution that captures images automatically with OCR processing on the Container & license plate.
  • Works on speedily moving containers.
  • Ability to Manually Correct in the cases of missed or false detection.
  • Captures Container number, ISO Code, Operational markings, CSC plates, IMDG Codes & other Certificates.
  • Manage data and Access Reports on the Cloud.

 

99.7%

Accuracy

Occupancy management and beyond with a virtual replica

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