Stelteryz/Deep-Live-Cam-Multi-Camera-Object-Tracking-Webui

Uses deepfake tech to bypass ID verification and 2FA by simulating a user’s face in real time during live webcam checks, tricking biometric systems into granting unauthorized access through realistic facial mimicry. machine-learning, webcam, faceswap, artificial-intelligence, deepfake, 2fa-bypass, identity-theft, spoofing

26
/ 100
Experimental

This tool helps you monitor multiple camera feeds simultaneously for objects in real-time, displaying their movement, speed, and identification. It takes live video streams from IP cameras or webcams and provides an intuitive web interface to view footage and analyze movement patterns. This is ideal for security professionals, operations managers, or researchers needing to track objects across various visual inputs.

Use this if you need a system for real-time video analytics to detect and track objects across multiple camera streams.

Not ideal if your primary need is for advanced biometric verification or bypassing existing security systems, as the GitHub description's claims about 'deepfake tech to bypass ID verification' seem unrelated to the README's content on multi-camera object tracking.

surveillance video-analytics security-monitoring industrial-automation behavior-tracking
No Package No Dependents
Maintenance 10 / 25
Adoption 5 / 25
Maturity 11 / 25
Community 0 / 25

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Stars

13

Forks

Language

C#

License

MIT

Last pushed

Jan 26, 2026

Commits (30d)

0

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