Other

Literal Corporation

Verbatim Corporation

Nexpress Solutions, Inc.

Eastman-kodak Company

James R Carey

David L Rowden

Patrick J Champagne

Jerry Eugene Livadas

Philip R Ashe

Scott Thomas Slattery

Thomas K Hilbert

Kent J Cooper

Robert J Crim

Christopher Stephen Garcia

Michael E Jacobs

W Charles Kasiske

Timothy Gilbert Armstrong

Donald Steven Hensel

Gary Edwin Nichols

D Steven Kepner

Thomas Samuel Albrecht

Patricia D Reuschle

Daniel Francis Vespone

Cathlyn Y Yu

Kevin M Johnson

John J Bowers

James D Harney

Ronald A Crain

Michelle Wise

Michelle Dawn Wise

Ronald A Carin

Harney James D

Thomas Kurt Hilbert

Roberto Juarez

John J Addario

The present disclosure is directed to systems and methods for generating investigations of user behavior. In an example embodiment, the system includes a video camera configured to capture video of user activity, a video analytic module to perform real-time video processing of the captured video to generate non-video data from video, and a computer configured to receive the video and the non-video data from the video camera. The computer includes a video analytics module configured to analyze one of video and non-video data to identify occurrences of particular user behavior, and an investigation generation module configured to generate an investigation containing at least one video sequence of the particular user behavior. In some embodiments, the investigation is generated in near real time. The particular user behavior may be defined as an action, an inaction, a movement, a plurality of event occurrences, a temporal event and/or an externally-generated event.

Investigation generation in an observation and surveillance system

An analytical recognition system is includes a video camera configured to capture video data of a subject and an antenna configured to capture mobile communication device data relating to a mobile communication device of the subject. The system further includes a data analytics module configured to: analyze the video data to determine at least one of a physical attribute or a movement attribute of the subject and generate; generate a first certainty match value based on the at least one of the physical attribute or the movement attribute of the subject; and perform a facial recognition analysis of the subject to obtain facial recognition data. The data analytics module is further configured to generate a second certainty match value based on the facial recognition data; generate a third certainty match value based on the mobile communication device data; and generate a combined certainty match value based on the first certainty match value, the second certainty match value, and the third certainty match value.

Video identification and analytical recognition system

A system for protecting personal data contained on an RFID-enabled device, suitable for use with an RFID system including an RFID reader configured to extract information from an RFID chip associated with the RFID-enabled device, includes a personal data protection system including a personal data protection device configured to prevent reading of the RFID chip associated with an RFID-enabled personal item.

Protection of personal data contained on an RFID-enabled device

Systems and methods for detecting potential theft and identifying individuals having a history of committing theft use an electromagnetic emission associated with a personal electronic device associated with an individual is received from at least one of a sensor that is coupled to at least one of a traffic camera or an aerial drone camera. One or more signal properties of the electromagnetic emission are analyzed to determine an emission signature. Video data and video analytics are correlated with the emission signature to identify the individual having possession of the item. The emission signature and video data are stored for later use during a checkout procedure. If an emission signature detected at a checkout station matches that of the individual having possession of the item, and the item is not processed through the checkout station, an alert is issued and the individual is flagged as a potential shoplifter.

Theft prediction and tracking system

A method for configuring a computing device in a network of at least one remote device is disclosed. The method includes: storing, in a remote device, a configuration data archive relating to an existing computing device, wherein the remote device is at least one of a traffic camera or an aerial drone camera; determining, by a computing device to be configured, whether the remote device has stored therein a configuration data archive; and transferring data from the configuration data archive to the computing device to be configured in response to a determination that the remote device has stored therein a configuration data archive.

Self-healing video surveillance system

An analytical recognition system includes one or more video cameras configured to capture video and a video analytics module configured to perform real-time video processing and analyzation of the captured video and generate non-video data. The video analytic module includes one or more algorithms configured to identify an abnormal situation. Each abnormal situation alerts the video analytics module to automatically issue an alert and track one or more objects or individuals by utilizing the one or more video cameras. The abnormal situation is selected from the group consisting of action of a particular individual, non-action of a particular individual, a temporal event, and an externally generated event.

An analytical recognition system includes a video camera, an antenna, and a data analytics module. The video camera is configured to capture video data. In some embodiments, the video camera is at least one of a traffic camera or an aerial drone camera. The antenna is configured to capture mobile communication device data. The data analytics module is configured to correlate the video data and the mobile communication device data to generate a profile of a person associated with the video data and the mobile communication device data. The profile has profile data including any one or a combination of the captured video data and the captured mobile communication device data.

An entertainment device safety system includes a video camera configured to capture video of an entertainment device and a user of the entertainment device and a video analytic module to perform real-time video processing of the captured video to generate non-video data from video. A computer receives the video and the non-video data from the video camera analyzes the video or the non-video data to determine a user position in relation to the entertainment device. The user position is compared to a user position rule to determine whether the user position violates the user position rule. A notification is transmitted in response to a determination that the user position violates the user position rule.

Entertainment device safety system and related methods of use

Systems and methods for detecting potential theft and identifying individuals having a history of committing theft use an electromagnetic emission associated with a personal electronic device associated with an individual is received from at least one of a sensor that is coupled to at least one of a traffic camera or an aerial drone camera. One or more signal properties of the electromagnetic emission are analyzed to determine an emission signature. Video data and video analytics are correlated with the emission signature to identify the individual having possession of the item. The emission signature and video data are stored for later use during a checkout. If an emission signature detected at a checkout station matches that of the individual having possession of the item, and the item is not processed through the checkout station, an alert is issued and the individual is flagged as a potential shoplifter.

A self-healing video surveillance system is described. The self-healing video surveillance system includes one or more surveillance cameras that are configured to store configuration data of a network video recorder in operable communication with the surveillance cameras. The network video recorder includes configuration data, and a module configured to store the configuration data on the surveillance cameras and/or retrieve configuration data stored on the surveillance cameras. A new network video recorder introduced into the network retrieves the stored configuration data to self-configure with minimal or no human interaction. In embodiments, configuration data is distributed among a plurality of surveillance cameras, and may be stored in encrypted format.

Systems and methods for detecting potential theft and identifying individuals having a history of committing theft are presented. An electromagnetic emission associated with a personal electronic device associated with an individual is received. One or more signal properties of the electromagnetic emission are analyzed to determine an emission signature. Video data and video analytics are utilized to determine whether an individual has taken possession of an item. The video analytics are correlated with the emission signature in an attempt to identify the individual having possession of the item. The emission signature and video data are stored for later use during a checkout procedure. If an emission signature detected at a checkout station matches that of the individual having possession of the item, and the item is not processed through the checkout station, an alert is issued and the individual is flagged as a potential shoplifter.

An analytical recognition system includes a video camera, an antenna, and a data analytics module. The video camera is configured to capture video data. The antenna is configured to capture mobile communication device data. The data analytics module is configured to correlate the video data and the mobile communication device data to generate a profile of a person associated with the video data and the mobile communication device data. The profile has profile data including any one or a combination of the captured video data and the captured mobile communication data.

Growing community of inventors

Rochester, NY, United States of America

James R Carey