Home Security Access Control Inconsistent Face Recognition Performance From VMS

Inconsistent Face Recognition Performance From VMS

0
Digital business hologram headed businessman on dark background with copyspace. Face recognition and innovation concept

We are having trouble getting consistent performance from a not very well-known VMS-based facial recognition technology a customer has purchased – what are we doing wrong?

We have ordinary turret cameras of reasonable quality with a fixed 4mm focal length. We find sometimes we get a read and sometimes not – it’s too inconsistent to be of much help. What would you recommend? Should we use different cameras, focal lengths, or is the system at fault?

A: The system may not be at fault, but some VMS-based face recognition may not be as discerning or highly developed as a dedicated face recognition solution – you’ll need to experiment. When it comes to face recognition, we’d be looking for longer focal lengths – around 9mm for a 1/3-inch sensor. Longer focal lengths will give you flatter images with less distortion and more accurate measurements – vital for face recognition.

Any wide-angle lens is going to be stretching and bending the scene, especially around the edges – the wider, the more pronounced the effect will be. There’s no chance people distorted into cone heads are going to be recognisable to face recognition software. A 4mm lens is not too wide but it will still mess with people’s heads.

We are going to be looking at some face recognition software at SecTech Camera Shootout – if you’ve not seen it by then, you should come along and check that out, as well as any other face recognition software being shown on the stands at SecTech Roadshow.

SecTech signature generic MAR2018 9.jpg 960px 9

NO COMMENTS

LEAVE A REPLY

Please enter your comment!
Please enter your name here

Exit mobile version