Alby0n/Masked-Face-Recognition

Identify subjects from CCTV footages even when there are only limited number of photographs available for the suspected individuals. The system should work in near real time and even when there are partial occlusion, different pose, and physical changes like beard , eye-glasses and face masks .

29
/ 100
Experimental

This system helps security and law enforcement personnel identify individuals in CCTV footage, even when faces are partially obscured by masks, glasses, or different poses, and with limited reference photos. You input video surveillance feeds and a few suspect images, and it outputs identified individuals, assisting with investigations. It's designed for security operators, investigators, and loss prevention teams.

No commits in the last 6 months.

Use this if you need to quickly identify individuals from surveillance video who might be wearing masks or have limited photographic records.

Not ideal if you require extremely high precision for critical security decisions without any human oversight.

CCTV monitoring forensic investigation loss prevention security operations suspect identification
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 16 / 25

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11

Forks

6

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Jupyter Notebook

License

Last pushed

Aug 13, 2022

Commits (30d)

0

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