tannd-ds/realtime-reid

Realtime Person Re-Identification using Kafka, Spark and Deep Learning

24
/ 100
Experimental

This system helps security and operations teams track individuals across multiple surveillance cameras in real time. It takes live video streams from different cameras as input and identifies the same person as they move between different camera views, assigning a consistent ID. This is for professionals managing physical security or needing to trace movement within a monitored area.

No commits in the last 6 months.

Use this if you need to continuously identify and track individuals across a network of security cameras in real time, assigning a consistent ID even as they move between different camera feeds.

Not ideal if you only need static image analysis or person detection in single camera feeds, or if your system does not require real-time processing and complex infrastructure setup.

physical-security surveillance person-tracking loss-prevention operations-monitoring
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 10 / 25

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Stars

15

Forks

2

Language

Python

License

Last pushed

Feb 20, 2024

Commits (30d)

0

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