Technology

CrowdOptic uses sensor data from smartphones, augmented reality glasses 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 platform.

Thumbnail of Focus-Based Services Platform document CrowdOptic Augmented Reality and Analytics
Read about CrowdOptic's platform for tracking and analyzing crowd interest by focus.
Cluster

How it Works

Target

1. Capture

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.
Capture

2. Calculate

Focal data is calculated to determine a line of sight and a dynamic sightline distance (the distance between the camera and the photographed object) for each user action. Each line of sight is run through a multithreaded detection routine to determine where the sightlines intersect.
Authenticate

3. Analyze

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.
Curate

4. Curate

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.