eCAFtech’s DSVC Takes Your Advertisement Content as King

Nov. 2, 2010 - PRLog -- eCAFtech (www.ecaftech.com) a Taiwan company that develops software focused on the audience measurement in Digital Signage (DS).In September,
eCAFtech has been worked out the most recently documented method for measuring the Viewer Rating for DOOH advertising - Digital Signage viewer counter(DSVC).

DSVC will make it possible for you to know how many of all of the people passing by actually took the time to look at the Advertisement Content. Now let’s take a look at the following DSVC Features and benefits:

   Eyes attractive position detection
Counting the Ad viewers quickly and accurately in a period, determining the best locations for displays
   Analysis the Attractive of Content
Analyzing the Single Ads content Actual Viewer (SAAV) through audience viewing time.
   Mastering eye suction time  
To distinguish a single regional location’s peak and off-peak periods.
   Value of suction time can be quantified
DOOH network operators can set Card Rate accurately according to the Scheduling Actual Viewer (SAV).
   Analysis Range is Large
Face recognition distance depends on the specifications of the camera, the long-distance of the camera, the large analysis range.

We believe we have come up with a breakthrough in targeted marketing by allowing retailers and marketers to display age-appropriate content on a real-time basis. With DSVC you can also evaluate whether your content is King or Queen.


eCAFtech’s mission is to become the undisputed leader in professional DOOH advertising Audience Measurement solutions, said Joseph hwang, president of sales and marketing.



Product Contact
Ecaf Technology, Inc.
Mr. Chiu (Manager)
+886-2-2918-3709 ext 101
News Contact
news@ecaftech.com

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About eCAFtech
http://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.