New social networking site uses facial recognition technology
Raxxle.com, a beta test social networking site, will be using facial recognition technology. Powered by RaxxleMatch Technology™, it uses proprietary facial- recognition software to quickly and accurately perform complex analyses of facial characteristics. Users can then find their “twin” among other users or find their “Celebrity Raxxle” matches.
New Social Networking Community Using Patented Facial Recognition Technology
Commack, NY — Raxxle.com announced that it is releasing its new social networking community for beta testing. Powered by patented RaxxleMatch Technology™, the site goes beyond traditional sites by adding the ability to find a member’s “twin” among other users of the community. RaxxleMatch technology uses proprietary facial- recognition software to quickly and accurately perform complex analyses of facial characteristics. Raxxle.com will also help members find their “Celebrity Raxxle” matches from a database of Hollywood stars, sports legends, historical figures and more.
“Raxxle.com is filled with some never before seen features designed to take the phenomenon of social networking to new heights,” said it’s Founder and CEO, Mr. James Cotgreave. “We’re excited to open the site for beta testing, and preliminary feedback has been tremendously well received by testers.”
Raxxle.com takes all the features users expect from a social network and makes them better. From personalized profiles and custom Flash-driven applications to a number of exciting features for mobile devices, Raxxle.com makes it easy for anyone to make it their own. For advertisers, Raxxle.com is distinguished from other social networking sites through real-time, personalized ad generation using patent-pending Raxxle Ad Developer Interface™. Advertising options include featured events, groups and celebrity listings; customizable promotional skins on member pages; dynamic Macromedia® Flash® plug-in applications; and e-mail sponsorships. Additionally, members can be targeted by age, location, gender, and/or hobby.

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