[AusNOG] Google creepier than Conroy?

[Skeeve Stevens]

I worked with a company to develop a network to support such a system a couple of years ago.

In pubs, clubs, etc... all those advertising plasma screens.... they installed cameras to watch who was watching the screens, collecting sex, age, length of interest and contextually applied that to the advert being viewed, so that advertisers could tell if an advert was engaging or not.

I wouldn't suggest there were any privacy issues with this approach.

--
Skeeve Stevens, CEO/Technical Director
eintellego Pty Ltd - The Networking Specialists
skeeve at eintellego.net / www.eintellego.net
Phone: 1300 753 383, Fax: (+612) 8572 9954
Cell +61 (0)414 753 383 / skype://skeeve
www.linkedin.com/in/skeeve ; facebook.com/eintellego
--
NOC, NOC, who's there?


> -----Original Message-----
> From: ausnog-bounces at lists.ausnog.net [mailto:ausnog-
> bounces at lists.ausnog.net] On Behalf Of Stuart Corner
> Sent: Sunday, 30 May 2010 3:50 PM
> To: Bevan Slattery; AusNOG at lists.ausnog.net
> Subject: Re: [AusNOG] Google creepier than Conroy?
> 
> You might be interested in this
> 
> http://www.bloomberg.com/apps/news?pid=20670001&sid=a06V8k05opGs
> 
> >
> "[NEC's]"PanelDirector: Visual Effect Measurement Solution" uses face
> recognition technologies to automatically collect and analyze visitor
> information that must be manually entered and processed when using
> conventional systems.
> 
> PanelDirector first selects a person's image from a photo taken with
> the system's camera. The gender and age range of the person viewing the
> system's digital signage content are then estimated, in addition to
> their distance from the display and amount of time they appear to
> express interest in the signage."
> 
> Just add Google's software and......
> 
> 
> On 30 May 2010, at 14:03, Bevan Slattery wrote:
> 
> >
> > Phil,
> >
> >>> The data or data fragments that Google may have collected was
> >> unintentional - they clearly don't need it to do geo-location
> >> - and it would be difficult to associate it with a particular
> >> individual or business - like taking a photo in a public place.
> >
> > First, grabbing such information isn't so they can use it to create a
> > geo-reference.  They capture it so they can attach it to a
> > geo-reference.  Having someone's MAC address or IP address along with
> > the 'photo' taken at that time, along with the position of the car,
> > which is then cross referenced to the GNAF database is what is going
> on
> > here.  So they will know that at any physical address where a photo
> is
> > captured, so too is the IP address, MAC address and whatever other
> > information was transmitted.  Handy to know that when you log-in to
> your
> > Gmail account or any of the millions of sites that run ad-words.
> >
> > If you think a photo is difficult to associate with a person or
> business
> > then you clearly have no idea of the vast amount of information that
> > organisations such as Google already have and are continually
> > collecting, geo-referencing and cross-referencing.  I was recently
> told
> > by a Google employee about this amazing piece of technology that can
> now
> > scan photo's of people, things or places taken from their phones,
> > facebook images etc. and recognise them/it against a massive image
> > library.  In particular it was mentioned that he took a photo of a
> > reasonably popular person and the software called to the library and
> > pushed up the persons Wikipedia entry.
> >
> > Think about it.
> >
> > [b]
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