WuJunde/checkoutfree

[ECCV 2022] A python implementation of the person clustering algorithm in the check-out free grocery visual system.

34
/ 100
Emerging

This system helps grocery store operators accurately track individual customers as they move through a checkout-free store, using data from security cameras. It takes a series of timestamped snapshots of people, each with their location, orientation, and visual features, and outputs a continuous identification for each person. This is ideal for retail operations managers or loss prevention specialists overseeing checkout-free grocery environments.

140 stars. No commits in the last 6 months.

Use this if you need to reliably identify and follow individual customers within a large checkout-free grocery store using camera data.

Not ideal if you are looking for a general-purpose object tracking system outside of a grocery setting or need real-time, instantaneous identification for active security interventions.

checkout-free-retail retail-analytics customer-tracking loss-prevention in-store-operations
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 16 / 25

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Stars

140

Forks

19

Language

Python

License

Last pushed

Jan 07, 2023

Commits (30d)

0

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