ECAFtech's New Digital Signage Audience Measurement Demo Movie Is Available On Youtube

Online, November 26, 2010 (Newswire.com) - eCAFtech, Taiwan's leading digital signage audience measurement solution provider upload the Digital Signage Viewer Counter (DSVC) Demo Movie on Youtube: http://www.youtube.com/watch?v=OAK1mfFi3ds

The new innovation technology DSVC rely on accurate image processing algorithms, can detect the face automatically through high-sensitive camera. This technology is an ideal solution in counting digital signage ad viewers or audience measurement for OOH digital signage network operators and advertising media.

It's said that DSVC-200 will be launched next month by eCAFtech's people. The RD Group in eCAFtech said, DSVC-200 working with a single IP camera, quickly and precisely captures the people who walk near and records the people who actually look at your digital signage. It continually transmits the real-time data to the Content Management System of your digital signage network. The real-time data can be further synchronized with contents to determine how many people saw each ad being played. These entirely anonymous, meaningful and powerful metrics help to evaluate the media performance accurately and to decide the best location for digital signage.

The body of DSVC is more slim than DSVC. DSVC- can be installed between display stands and display monitor. It's an ideal for environment which is noise sensitive such as museums and libraries. The new release offers the best-in-class answer for digital signage system integrators and digital Out-Of-Home Media companies.
About eCAFtech
www.ecaftech.com
eCAFtech has devoted itself into the research of biometric identification technology since 2005 and we integrate our unique face recognition algorithms into the development of application products. In 2010 we have the powerful Face U host that utilizes the combination of two main recognition algorithms, the Principal Component Analysis with eigenface and Linear Discriminate Analysis, to achieve the fast and accurate recognition of each individual face.

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