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The UKHA-ARCHIVE IS CEASING OPERATIONS 31 DEC 2024


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Re: Re: NOW : Face recognition WAS Car number plate capture/recognition


  • To: <ukha_d@xxxxxxx>
  • Subject: Re: Re: NOW : Face recognition WAS Car number plate capture/recognition
  • From: "Dave McLaughlin" <dave@xxxxxxx>
  • Date: Fri, 5 Jul 2002 10:47:22 +0100
  • Mailing-list: list ukha_d@xxxxxxx; contact ukha_d-owner@xxxxxxx
  • References: <ag3pea+6a7b@xxxxxxx>
  • Reply-to: ukha_d@xxxxxxx

Have a look at this 78 neuron neural net chip. Pure hardware based neural
net for applications such as this.

The video demos give you an idea on what it can do. I have also seen a demo
that detected room occupancy even if you changed the room around as it
looked for moving objects and there size etc.

http://www.siliconrecognition.com/

Dave...

----- Original Message -----
From: "graham_howe" <graham@xxxxxxx>
To: <ukha_d@xxxxxxx>
Sent: Friday, July 05, 2002 10:38 AM
Subject: [ukha_d] Re: NOW : Face recognition WAS Car number plate
capture/recognition


> > One way to do it just now could be by measuring differences from a
> > baseline "unoccupied" image.  Based on the size of the object you
> could
> > probably distinguish people from cats (or milk monsters?)
> >
> The big problem with this approach is things like furniture being
> moved, large bags or boxes being left in a room, or even a big shadow
> or patch of sunlight.
>
> Don't get me wrong, I too believe that this will be the eventual
> method for occupany detection, but it is a little more complicated
> than just detecting that the 'scene' has changed from 'baseline'.
>
> Graham



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