CrowdOptic's technology uses sensor data from electronic devices and
archival media file metadata to calculate user sightlines and sightline intersections. Significant
groups of these intersections, called “clusters,” power a range of capabilities using the
CrowdOptic's technology is protected by U.S. Patent 8,527,340, Austrailian Patent 2012225536 with 2 U.S. and 4 foreign patents pending some of which are allowed.
How it Works
CrowdOptic captures "focal data" (GPS, compass, and accelerometer) from multiple sources, inlcuding smartphones, augmented reality
glasses and photo/video metadata. The data is verified by CrowdOptic for legitimacy and accuracy.
Focal data is calculated to determine a line of sight and sightline distance
(the distance between the camera and the photographed object) for each user. Each sightline is run through
a multithreaded detection routine to determine where the sightlines intersect.
CrowdOptic's proprietary algorithms identify significant groups of sightline intersections, called "clusters," which
are used to interconnect related user actions; people that take a photo of the same object are part of the same cluster.
Clusters are used to filter photos, videos and social commentary to find the most
relevant, crowdsourced content. Clusters also connect users to a variety of new context-based, authentic user experiences.