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: The present application relates to a method and apparatus for generating a graphical user interface indicative of a vehicle underbody view including a LIDAR operative to generate a depth map of an off-road surface, a camera for capturing an image of the off-road surface, a chassis sensor operative to detect an orientation of a host vehicle, a processor operative to generate an augmented image in response to the depth map, the image and the orientation, wherein the augmented image depicts an underbody view of the host vehicle and a graphic representative of a host vehicle suspension system, and a display operative to display the augmented image to a host vehicle operator. A static and dynamic model of the vehicle underbody is compared vs the 3-D terrain model to identify contact points between the underbody and terrain are highlighted.

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: 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: The present application relates to a method and apparatus for generating a graphical user interface indicative of a vehicle underbody view including a LIDAR operative to generate a depth map of an off-road surface, a camera for capturing an image of the off-road surface, a chassis sensor operative to detect an orientation of a host vehicle, a processor operative to generate an augmented image in response to the depth map, the image and the orientation, wherein the augmented image depicts an underbody view of the host vehicle and a graphic representative of a host vehicle suspension system, and a display operative to display the augmented image to a host vehicle operator. A static and dynamic model of the vehicle underbody is compared vs the 3-D terrain model to identify contact points between the underbody and terrain are highlighted.

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 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: 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: 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: 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: 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: 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 system and method for investigating crimes occurring at locations that are communicatively connected by a central server is disclosed. The investigation is highly automated and obtains evidence using computer aided searches of historic surveillance data gathered at locations within a computer search area. The investigation also utilizes active searches of real-time surveillance data gathered at the locations in response to a be-on-the-look-out (BOLO) alert sent to the locations from the central server. Based on evidence obtained from these searches, the search area may be updated and the searches may be repeated to follow a moving crime pattern/route. In addition, the information provided from the searches may facilitate the prediction of a location that is likely to experience a crime in the future. Accordingly, the central server may transmit a high alert to the predicted location.

Abstract: A system and method for investigating crimes occurring at locations that are communicatively connected by a central server is disclosed. The investigation is highly automated and obtains evidence using computer aided searches of historic surveillance data gathered at locations within a computer search area. The investigation also utilizes active searches of real-time surveillance data gathered at the locations in response to a be-on-the-look-out (BOLO) alert sent to the locations from the central server. Based on evidence obtained from these searches, the search area may be updated and the searches may be repeated to follow a moving crime pattern/route. In addition, the information provided from the searches may facilitate the prediction of a location that is likely to experience a crime in the future. Accordingly, the central server may transmit a high alert to the predicted location.

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: 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: 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 system and method for investigating crimes occurring at locations that are communicatively connected by a central server is disclosed. The investigation is highly automated and obtains evidence using computer aided searches of historic surveillance data gathered at locations within a computer search area. The investigation also utilizes active searches of real-time surveillance data gathered at the locations in response to a be-on-the-look-out (BOLO) alert sent to the locations from the central server. Based on evidence obtained from these searches, the search area may be updated and the searches may be repeated to follow a moving crime pattern/route. In addition, the information provided from the searches may facilitate the prediction of a location that is likely to experience a crime in the future. Accordingly, the central server may transmit a high alert to the predicted location.

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 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.