Kiana Analytics Inc.

Nader Fathi

Glenn Robert Seidman

Sebastian Andreatta

Klaus Ten Hagen

Battogtokh Baasanjav

System and method include: receiving location information about a mobile device; creating trackable data structures; determining a movement path of the mobile device; receiving image streams from a plurality of cameras; identifying one or more cameras in the movement path; identifying relevant image streams from the identified one or more cameras in relevant to a time and location of the mobile device in the movement path, by associating the image timestamps from the identified one or more cameras with the location and the tracking timestamps of the trackable data structures in the movement path; wherein each identified relevant image stream includes a confidence level of relevance to trackable data structures in the movement path; and displaying the movement path of the mobile device and the identified relevant image streams that include a confidence level higher than a predetermined threshold on a map on a display screen.

System and method for identity discovery

System and method for tracking a mobile device includes: receiving unique identifications for a mobile device; filtering out the unique identifications to obtain a true identifications for the mobile device; identifying cameras relevant to movement of the mobile device; receiving video streams; generating data structures for the video streams and tracking information of the mobile device, the data structure including time stamped videos, and viewpoints of the identified cameras; utilizing the data structures to retrieve, video and tracking information for the mobile device and the user, as the mobile moves in the site; and applying analytics to the retrieved video and tracking information to analyze behavior of the user and to predict what the user will do while on site.

Method for recognizing a mobile device in a site

A system and method for identifying mobile users in a site includes: receiving, in real time, data packets from wireless access points; identifying unique device identifications from the received data packets, and time stamping each identified unique device identification; determining repetitive or false unique device identifications in the identified unique device identification; and eliminating the repetitive or false unique device identifications in the identified unique device identification to obtain a plurality of accurate unique device identifications.

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Sunnyvale, CA, United States of America

Nader Fathi