I will build an offline face recognition system with python and opencv

Dickipramudya

Indonesia

I speak English

Independent System Architect

I do not build cosmetic apps; I engineer resilient systems. As a System Architect, I specialize in bridging bare-metal hardware with advanced local software. I architect "Offline-First" and "Air-Gappe...
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About this Gig

I build recognition systems that identify people from a camera and run fully offline: no cloud, no monthly fees, no GPU needed.


Built and tested on a low-cost ARM Linux device (4 cores, USB webcams) at about 6 fps per camera. It names every person in view, several at once.


What you get:

Python + OpenCV detection and recognition (YuNet + SFace)

Tracking per person, so names stay stable

Web dashboard (FastAPI): live view, registration with consent, daily report, CSV export

Entrance + exit camera mode, or single-camera kiosk mode

HDMI monitor output and auto-start on boot (systemd)

Full source code and a README


Good for: attendance, door logs, visitor counting, or any project that needs to know who is in front of a camera.


Please message me before ordering with your camera, your hardware and what you want to record, so I can confirm the right package.

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build an offline face recognition system with python and opencv
build an offline face recognition system with python and opencv
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Expertise:

Image processing

•

Object detection

Programming language:

Python

Tools:

OpenCV

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