Abstract: A method includes receiving from a first detection system, an image of a license plate, applying an optical recognition function to characters of the license plate, and assigning a confidence value to each of the characters. The method further includes, in response to determining that the confidence value for a particular character is below a threshold, sending an image of the character to a gamified human reviewer application, receiving from the gamified human reviewer application, a human response indicative of a characteristic of the character, and updating the optical recognition function based on the characteristic of the character.

Abstract: A method includes receiving from a first detection system, a plurality of identity tokens, the plurality of identity tokens including different types of identity tokens, the first detection system having a plurality of different types of detection instruments, receiving from a second detection system, a number of identity tokens, the second detection system having a plurality of different types of detection instruments, using information from the first detection system and the second detection system, creating correlation information that correlates different types of identity tokens, using information from the first detection system and the second detection system, determining path likelihood for a plurality of moving objects passing through the first detection system and the second detection system, and updating the correlation information using the path likelihood for the plurality of moving objects.

Abstract: A method performed by a computing system includes receiving from a first detection system, a plurality of identity tokens, the plurality of identity tokens including different types of identity tokens, the first detection system having a plurality of different types of detection instruments. The method further includes using information from the first detection system, creating correlation information that correlates different types of identity tokens. The method further includes receiving from a second detection system, a number of identity tokens, the second detection system having a plurality of different types of detection instruments that is fewer than the first detection system. The method further includes using the number of identity tokens received from the first and second detection systems, identifying a vehicle passing through the second detection system.