Our new online face recognition demo
Our new online face recognition demo launched on March 10, 2009 with 50 votes.
In plain words
This online face recognition demo allows users to test facial recognition technology through a web interface. Launched in 2009, it is designed for anyone interested in exploring how face recognition works. The demo lets visitors upload images or use a webcam to see the technology identify and analyze faces in real time, making it accessible for casual experimentation and learning about this emerging computer vision capability.
written from the facts on this page · September 2026
Does a similar job
all alternatives →- ITI turned my face rec system into a video codec2022 · vertigo.ai · ▲518
Before the pandemic, my tiny startup was doing quite well selling Edge AI systems, based on our own lightweight AI inference engine, with object detection and face recognition for smart city and smart retail & food service applications. When the real world shut down, there was suddenly nothing to monitor on streets and in restaurants, so I set out to try and evolve our real time face recognition system into a video codec for high quality face-to-face online interactions, as I was not satisfied with the quality of Zoom and friends. I got it to work, and the first release for IOS was just…
How Normal am I?2020 · hownormalami.eu · ▲232A live demo of AI algorithms making judgments about you.

CompreFace is a free and open-source face recognition software2021 · github.com · ▲72Leading free and open-source face recognition system - exadel-inc/CompreFace
Facial Recognition by FB2017 · about.fb.com · ▲310Get notified if someone tries to use your photo on Facebook
DeepFace – A lightweight deep face recognition library for Python2025 · github.com · ▲257DeepFace is a leading open-source library for facial recognition and facial attribute analysis, and the de facto standard in Python. It wraps multiple state-of-the-art models that have reached — and even surpassed — human-level accuracy in recognizing faces. By the numbers (as of early 2025): 15,000+ stars on GitHub; ~4 million installations via pip; 800+ citations in academic papers Whether you're building a cutting-edge AI project or simply exploring facial recognition, DeepFace makes advanced capabilities accessible with just a few lines of code.
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Source: Show HN post ↗
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