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.
How this works?
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We have a database of the images which customers have reported that they have lost
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At the storage and processing facility, we run those lost-and-found items on a conveyor
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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
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These images are sent via WiFI to Image Collection, Composer and Processor (ICCP) device
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ICCP makes use of Vision API and runs:
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Image Detection of the composed image (composed out of 3 images received for this item)
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Image Compare to compare images stored in the Customer cases
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Stores these attributes
- ScannedImageUUID
- CustomerCaseImageUUID
- MatchScore
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Based on the MatchScore we can detect/match the owner of this lost-and-found item