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Computer Vision & Imaging AI
Image Recognition & Classification
Retail & Wholesale

Computer Vision Exit Verification for a Regional Warehouse Club


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Problem

Manual receipt checks at exits

A 14-warehouse regional membership retailer relied on staff manually matching receipts to loaded flatbed carts at every exit. Weekend queues stretched past three minutes, checks were necessarily cursory, and exit shrinkage kept climbing. Member complaints about the door experience were among the most common feedback themes across the chain.

Solution

Camera-verified exit lanes

We built a computer vision exit-verification system: ceiling-mounted cameras at each exit archway detect and classify items on passing carts, and a matching service cross-references them against the member's digital receipt in real time. Verified carts get a green light and walk straight through, while mismatches are flagged to a staffed lane for a quick targeted check.

Measurable Impact

What changed after launch

92% of carts verified automatically with no staff intervention required

Average exit wait at peak weekend hours cut from over 3 minutes to under 40 seconds

Exit-related shrinkage down 18% across all 14 warehouses within 6 months

Member complaints about door checks fell by 55% in the first quarter after rollout

Tech & Tools Used

What powered the build

Python
PyTorch
YOLOv8
OpenCV
NVIDIA Jetson Orin
TensorRT
Apache Kafka
PostgreSQL
React
AWS S3

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