Abstract: Video data from sources, such as cameras, is analyzed to create metadata descriptive of the events and objects occurring in the video. This metadata, which consists of data about the video, is then analyzed on a transaction basis to determine if a suspicious activity, such as a fraudulent Point of Sale (POS) return event, has occurred in relation to a transaction.

Abstract: Video data from sources, such as cameras, is analyzed to create metadata descriptive of the events and objects occurring in the video. This metadata, which consists of data about the video, is then analyzed on a transaction basis to determine if a suspicious activity, such as a fraudulent Point of Sale (POS) return event, has occurred in relation to a transaction.

Abstract: A method of monitoring customer service interactions includes the acquisition of video data. The video data is analyzed to track a location of a customer and to track a location of an agent. An interaction between the customer and the agent is identified based upon an intersection of the respective tracked locations of the customer and the agent and a dwell time of the customer and agent at the intersection.

Abstract: A method of workforce optimization includes acquiring video data. The video data is obtained from a plurality of video cameras in a facility comprising a plurality of departments. A customer load for each of the plurality of departments is identified. A location of each of a plurality of employees in the facility is identified. A customer-to-employee ratio is determined for each department. The determined customer-to-employee ratio for each department is provided to a computing device. At least one employee deployment notification is provided from the computing device to another computing device.

Abstract: A method of searching for objects of interest within captured video comprising capturing video of a plurality of scenes, storing the video in a plurality of storage elements, and receiving a request to retrieve contiguous video of an object of interest that has moved through at least two scenes of the plurality of scenes.

Abstract: The system and method of the present application captures video of a scene in accordance with a plurality of capture characteristics, generates a capture profile for the video, and creates an index of the captured profile to enable a more rapid search of the captured video.

Abstract: Embodiments disclosed herein provide systems and methods reduce the resolution of video before transference to a display system. In a particular embodiment, a video processing system receives viewing parameters for a viewing area on a display system. The processing system also receives video of a scene comprising a quantity of pixels in each of a plurality of images of the scene. The processing system then modifies the video based on the viewing parameters to produce modified video having a reduced quantity of pixels in each of the plurality of images. The modified video is transferred for display of at least a portion of the scene in the viewing area by the display system.

Abstract: Software, systems, and methods for recording a scene encompassing a transaction, such as a point-of-sale transaction, are presented. In one implementation of a method, the scene is recorded to a data storage system using a first video camera capable of capturing protected data associated with the transaction. While recording the scene using the first camera, and in response to receiving a first trigger, the recording of the scene is continued using a second video camera not capable of capturing the protected data. While then recording the scene using the second camera, and in response to receiving a second trigger, the recording of the scene is continued using the first video camera. The first and second timing triggers are initiated based on at least one event associated with the transaction.

Abstract: A method of searching for objects of interest within captured video comprising capturing video of a plurality of scenes, storing the video in a plurality of storage elements, and receiving a request to retrieve contiguous video of an object of interest that has moved through at least two scenes of the plurality of scenes.

Abstract: Video data from sources, such as cameras, is analyzed to create metadata descriptive of the events and objects occurring in the video. This metadata, which consists of data about the video, is then analyzed on a transaction basis to determine if a suspicious activity, such as a fraudulent Point of Sale (POS) return event, has occurred in relation to a transaction.