Lost-Found Item Management

Problem Description

Parcel delivery companies like UPS, FedEx needs a lost-and-found management solution:

There is possibility that item(s) packaged by the customers may fall out and becomes a candidate for the lost-and-found item

Solution

We can build a ML and Deep Learning based Image detection and comparison system.

lfm

How this works?

  • We have a database of the images which customers have reported that they have lost

  • At the storage and processing facility, we run those lost-and-found items on a conveyor

  • When the item reaches the Trigger point for scan image capture devices at Reader-L, Reader-R and Reader-T captures images at left, right and top. This may include bar-codes, UPC, QR-Code

  • These images are sent via WiFI to Image Collection, Composer and Processor (ICCP) device

  • ICCP makes use of Vision API and runs:

    • Image Detection of the composed image (composed out of 3 images received for this item)

    • Image Compare to compare images stored in the Customer cases

    • Stores these attributes

      • ScannedImageUUID
      • CustomerCaseImageUUID
      • MatchScore

Based on the MatchScore we can detect/match the owner of this lost-and-found item