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Face ID & Helmet Detection System
Computer vision system for employee access control at industrial and construction sites.
The solution combines Face ID, liveness detection, and PPE/helmet recognition to verify that the person entering the facility is a real registered employee and is wearing the required safety helmet.
Built with Python, PyTorch, YOLO, OpenCV, and face recognition technologies. Designed for real-time camera processing and automated safety checks at site entrances.
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Fantastic color choice and application. well execution.
New work: I rebuilt my studio site as a real-time 3D experience, then I attacked it.
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But looking expensive is only half the job. I also build and secure the systems behind sites like this: multi-tenant SaaS, Stripe billing, PostgreSQL row-level security. So I wrote an automated red-team loop in Python and ran it against my own live site: attack, triage, patch, verify. It flagged a couple of hardening gaps, I fixed them, and re-ran until it came back clean.
If you want a site that looks like a high-budget trailer and holds up when someone probes it, that is what I build.
Live: xkaii.studio
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The combination of high-end GLSL motion and row-level security backend is incredible. What vulnerabilities did your automated Python red-team loop flag during the initial test runs?