Archives of #Face Detection

Testing 3 modern face detection libraries (face.com, openCV, libccv)

As a research project months back Balthazar and I tested 3 modern face detection libraries (definitely see Balthazar’s write-up). Face.com had just been acquired by facebook, they had a great and free service which annotated not just face locations but also sex, age and emotion. We also tested OpenCV (popular and free) and the lesser […]

Round 4.1 Demo Morning at StartupChile

I’m sitting here in the Demo Morning for the newly arrived Round 4.1 (4.2 turns up in a few weeks). Here’s a list of the pitches with my (probably too) short descriptions. The Round 5 applications are open, I think applications close this weekend (there’s a long and recent discussion here about the pros and […]

Heading to StartupChile

This is a quick update – we’re flying tomorrow to Santiago for 6 months of the StartupChile project ($40k funding, no equity, hundreds of projects flying in from all over the world). If you’re interested in taking 6 months to build your own project I’d suggest you take a look at applying to the next […]

Presenting A.I. at FlashBrighton (using Python!)

A couple of weeks back I presented an Artificial Intelligence evening at FlashBrighton with John Montgomery and Emily Toop. The night covered optical character recognition, face detection, robots and some futurology. A video link should follow. Optical Character Recognition to Read Plaques Recently I’ve been playing with OCR to read photos with text, a particular […]

Talking on Artificial Intelligence next Tuesday at FlashBrighton

I’ve been invited to speak with John Montgomery next Tuesday at FlashBrighton – 7pm at The Werks for 1.5-2 hours or so of demos. We’ll be covering: Head tracking robot (build your own in a few hours!) Skiff Privacy Invasion – what we can learn from data mining the SkiffCam (the Gov’t can do it […]

Headroid1 – a face tracking robot head

The video below introduces Headroid1, this face-tracking robot will grow into a larger system that can follow people’s faces, detect emotions and react to engage with the visitor. The above system uses openCV’s face detection (using the Python bindings and facedetect.py) to figure out whether the face is in the centre of the screen, if […]