Technology

AI-powered tech tracks passengers' response to ads on Brazil subway

Posted on May 16, 2018

AdMobilize's AI-powered Audience Analytics System has been integrated into new interactive subway doors that are now deployed at three subway stations on the Yellow Line of the Sao Paulo Metro in Brazil. Photo: AdMobilize
AdMobilize's AI-powered Audience Analytics System has been integrated into new interactive subway doors that are now deployed at three subway stations on the Yellow Line of the Sao Paulo Metro in Brazil. Photo: AdMobilize

Artificial intelligence and computer vision company AdMobilize, announced that its AI-powered Audience Analytics System has been integrated into new interactive subway doors that are now deployed at three subway stations on the Yellow Line of the Sao Paulo Metro in Brazil. Over one million passengers travel the Yellow Line every day.

According to AdMobilize CEO & Co-Founder Rodolfo Saccoman, the incorporation of the AdMobilize anonymous Audience Analytics Solution into the subway system’s new interactive doors will provide ViaQuatro, the company responsible for the new interactive doors, with an advertising platform that also delivers detailed data on the amount of people who watch the displayed advertising as well as their emotional responses while doing so. The screens of the doors are also being used to provide travelers with updated news and information.

“The AdMobilize system quantifies the number of people standing in front of the doors along with their gender, age, dwell time, and facial emotion analysis,” Saccoman explained. “These expressions include happiness, surprise, neutrality, and dissatisfaction, among others. The traditionally used historical-based proof-of-performance data is incomplete and highly inaccurate. Thus, advertisers are quickly embracing AI-built analytics in order to dynamically change their ads and reliably understand the true impact of their advertising.”

The AdMobilize Audience Analytics solution can track real-time ad performance and customer engagement; segment campaigns and content by hour and site; target content by both audience demographic and emotion; and optimize store traffic flow; amongst much more. All captured analytics are fed to a cloud-based dashboard (real-time in less than 15 milliseconds) or API that allows end-users to assess results and performance, identify trends, and make any necessary adjustments to the displayed content.


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