Abstract: 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.

Abstract: A method, computer program product, and computing device for identifying at least one tuple of interest from a plurality of tuples during execution of a streaming application. A window of tuples including the at least one tuple from the plurality of tuples may be defined. One or more operations may be performed on the window of tuples.

Abstract: 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. In some embodiments, the video camera is at least one of a traffic camera or an aerial drone 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.

Abstract: A method, a computer system, and a computer program product are disclosed for consolidating text conversations from text collaboration channels. An algorithm is executed to: identify a set of parameters from a first, a second, and a third set of textual data, associated with a first, a second, and a third collaboration channel, respectively; compare the parameters of the sets of data to identify a parameter that is a same parameter from the first set of textual data and the second set of textual data; and determine a frequency at which the first and second set of data comprise the identified parameter. In response to a determination that the frequency exceeds a threshold, the algorithm may further generate and display another set of data that includes the first and second set of data on a user interface.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: An analytical recognition system includes a video camera, an antenna, one or more processors, and one or more memories. The one or more memories store instructions that, when executed by the one or more processors, cause the one or more processors to function as a data analytics module and an investigation 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, generate a profile of a person associated with the video data and the mobile communication device data, detect a behavior of the person, and store behavioral data in the profile. The investigation module is configured to mine the video data, the mobile communication device data, the profile data, and/or sales data, and generate a report based on the mining.

Abstract: 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.

Abstract: Systems and methods for detecting potential theft and identifying individuals having a history of committing theft are presented. In an embodiment, 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.

Abstract: 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.

Abstract: Embodiments of the present disclosure provide a bow and a method for reducing torque. An exemplary bow includes a riser having a pair of limbs having a string assembly operably coupled to each one of the pair of limbs, the riser with the pair of limbs operable to maintain a tension in the string assembly. The bow further includes a handle, the handle having a ball joint maintained in the handle operable to rotate relative to the handle, wherein the handle is rotatably affixed to the riser at the ball joint free floating bow including a riser having two ends, and a pair of limbs, each extending from one end of the riser.

Abstract: 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.

Abstract: An analytical recognition system includes a video camera, an antenna, one or more processors, and one or more memories. The one or more memories store instructions that, when executed by the one or more processors, cause the one or more processors to function as a data analytics module and an investigation 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, generate a profile of a person associated with the video data and the mobile communication device data, detect a behavior of the person, and store behavioral data in the profile. The investigation module is configured to mine the video data, the mobile communication device data, the profile data, and/or sales data, and generate a report based on the mining.