Abstract: Embodiments herein provide various systems and methods for automated classification of vehicle reads to build vehicle identification profile and for automated vehicle identification using content extracted from an image frame of a vehicle to identify a most probable vehicle identification profile. An example method comprises capturing, by a camera, a read comprising an image frame including a portion of a vehicle; identifying at least one of a license plate number and a descriptor of the vehicle using image processing on the read; determining a probability value that the read includes the vehicle based on the identified at least one of the license plate number and the descriptor; when the probability value exceeds a threshold value, identifying a vehicle identification profile in a database using the identified at least one of the license plate number and the descriptor; and updating the vehicle identification profile to include the captured read.

Abstract: A method for generating a vehicle identification profile and building a vehicle identification profile database. The method may be executed at an edge of a networked system. The method identifies at least one of a number of characters on a license plate and one or more alphanumeric descriptors. The alphanumeric descriptors are obtained from physical or visual features or characteristics of a vehicle, as identified from a video stream. A vehicle profile including the alphanumeric descriptors and the one of a number of license plate characters is generated.

Abstract: Embodiments herein provide various systems and methods for automated classification of vehicle reads to build vehicle identification profile and for automated vehicle identification using content extracted from an image frame of a vehicle to identify a most probable vehicle identification profile. An example method comprises capturing, by a camera, a read comprising an image frame including a portion of a vehicle; identifying at least one of a license plate number and a descriptor of the vehicle using image processing on the read; determining a probability value that the read includes the vehicle based on the identified at least one of the license plate number and the descriptor; when the probability value exceeds a threshold value, identifying a vehicle identification profile in a database using the identified at least one of the license plate number and the descriptor; and updating the vehicle identification profile to include the captured read.

Abstract: Embodiments herein provide various systems and methods for automated classification of vehicle reads to build vehicle identification profile and for automated vehicle identification using content extracted from an image frame of a vehicle to identify a most probable vehicle identification profile. An example method comprises capturing, by a camera, a read comprising an image frame including a portion of a vehicle; identifying at least one of a license plate number and a descriptor of the vehicle using image processing on the read; determining a probability value that the read includes the vehicle based on the identified at least one of the license plate number and the descriptor; when the probability value exceeds a threshold value, identifying a vehicle identification profile in a database using the identified at least one of the license plate number and the descriptor; and updating the vehicle identification profile to include the captured read.

Abstract: Embodiments herein provide various systems and methods for automated classification of vehicle reads to build vehicle identification profile and for automated vehicle identification using content extracted from an image frame of a vehicle to identify a most probable vehicle identification profile. An example method comprises capturing, by a camera, a read comprising an image frame including a portion of a vehicle; identifying at least one of a license plate number and a descriptor of the vehicle using image processing on the read; determining a probability value that the read includes the vehicle based on the identified at least one of the license plate number and the descriptor; when the probability value exceeds a threshold value, identifying a vehicle identification profile in a database using the identified at least one of the license plate number and the descriptor; and updating the vehicle identification profile to include the captured read.

Abstract: A camera system with dual embedded optical character recognition (OCR) engines. The camera system includes a camera module for capturing an image of a vehicle, the image including a license plate with a license plate number containing characters; a first OCR engine that produces a first read and first confidence level by extracting the characters from the license plate; and a second OCR engine, different from the first OCR engine, that produces a second read and second confidence level extracting the characters from the license plate. The camera system further includes a comparator for comparing the first read to the second read. If the first read and the second read match, the system produces the matching read as a final read. If the first read and the second read do not match, a fusion module produces a final read using the first read, the first confidence level, the second read, and the second confidence level.