Abstract: A method for identifying vehicles, including capturing a first image of a first vehicle using a first camera at a first position and a second image of the first vehicle using a second camera at a second position different from the first position. The method further includes determining a transformation between the first image and the second image. A third image of a second vehicle using the first camera is captured, and the transformation is applied to the third image to generate a fourth image of the second vehicle. The fourth image is analyzed, using a database of identified vehicles, to determine an identity of the second vehicle.

Abstract: A method for analyzing image identifications. An optical character recognition (OCR) identification of an image, an associated confidence value, and a photograph of the image are received. After determining that the received confidence value is below a predefined threshold, a data store is searched to find OCR identifications matching the received OCR identification. If the searching fails to find a matching OCR identification, then a manual agent males a correct identification of the image in the received photograph; otherwise a search score associated with each OCR identification is received. If no received search scores is above a predetermined threshold, then the message is sent to the manual agent for correct identification; otherwise the correct identification is determined based on the OCR identifications associated with the search scores above the predetermined threshold and the correct identification thus determined is subsequently transmitted to a billing system.

Abstract: A method for identifying vehicles, including capturing a first image of a first vehicle using a first camera at a first position and a second image of the first vehicle using a second camera at a second position different from the first position. The method further includes determining a transformation between the first image and the second image. A third image of a second vehicle using the first camera is captured, and the transformation is applied to the third image to generate a fourth image of the second vehicle. The fourth image is analyzed, using a database of identified vehicles, to determine an identity of the second vehicle.

Abstract: A method for analyzing image identifications. An optical character recognition (OCR) identification of an image, an associated confidence value, and a photograph of the image are received. After determining that the received confidence value is below a predefined threshold, a data store is searched to find OCR identifications matching the received OCR identification. If the searching fails to find a matching OCR identification, then a manual agent males a correct identification of the image in the received photograph; otherwise a search score associated with each OCR identification is received. If no received search scores is above a predetermined threshold, then the message is sent to the manual agent for correct identification; otherwise the correct identification is determined based on the OCR identifications associated with the search scores above the predetermined threshold and the correct identification thus determined is subsequently transmitted to a billing system.