Pixoneye uses image understanding technologies to create analytical capabilities of mobile users for predictive personalization needs, based on users’ personal mobile photo galleries.

Data mining on mobile devices still relays on primitive capabilities such as geolocation and browsing patterns. Many today attempt to create recommendations and predictions based on this primitive data. Most “personalization” methods today rely on ‘online’ behavior, this data source is not accurate to the true personal nature of the user.

Understanding that people today communicate via photos and videos, and that users devices today are filled with photos both stored and shared. Pixoneye has created a technological solution that allows marketers and brands the ability to analyze and personalize their mobile audiences based on their personal photo/ video albums.

The meta data stores the location of the image and other relevant pieces of data while the front of the image tells us what is the person doing in that location/time.

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