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How Reading Viewers Faces Can Calibrate TV Measurement Data Beet.TV [Video]

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LONDON, UK — In the new TV landscape, measurement companies want to know who is watching a show and at which moments.

In the near future, facial recognition technology on TV sets could help them do just that.

In this video interview with Beet.TV, Yan Liu, CEO & Co-Founder, TVision, explains why this data will help “calibrate” TV ratings.

TVision is one of the leading suppliers of computer vision facial recognition technology that understands which specific people in a home are in front of the TV, and whether they are attentive.

Whilst there is unlikely to be a day when the majority of TV owners are comfortable with being monitored, TVision uses a voluntary panel of households who have deployed its tech.

Given enough data points describing individual panel members, the data could be modelled-up to boost the accuracy of measurement-platform viewing data.

The system is also used by Lumen Research to power its attention measurement metrics.

Liu calls it “calibration”.