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: 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: 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: 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: 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.