Abstract: Systems and methods for license plate matching. In one example, a system for license plate matching includes an interface configured to receive roadside data, the roadside data including a roadside image of a vehicle license plate, a database having a plurality of indexed entries, each entry including vehicle license plate fingerprint data and vehicle characteristic metadata, and a processor connected to a memory, the interface, and the database, the processor configured to execute a query against the database based on the roadside data, compare a portion of the entries to the roadside data, the processor being further configured to compare the roadside image of the vehicle license plate and the corresponding vehicle license plate fingerprint data when comparing the portion of the entries and roadside data, and generate a confidence based on a similarity between at least one individual entry of the portion of entries and the roadside data.

Abstract: According to at least one aspect, systems and methods for distributed license plate review, at one or more crowd source analysis provider, are provided. In one example, a system for license plate review includes an interface configured to receive at least a roadside image of a vehicle license plate, and at least one processor configured to partition the roadside image of the vehicle license plate into one or more segments, and assign the one or more segments to one or more crowd source analysis provider, the one or more crowd source analysis provider being configured to review and recognize at least one character of the vehicle license plate included within an individual segment of the roadside image. In an example, the crowd source analysis provider may allow a reviewer to interact with the individual segment and recognize the at least one character within that segment.

Abstract: According to at least one aspect, systems and methods for distributed license plate review, at one or more crowd source analysis provider, are provided. In one example, a system for license plate review includes an interface configured to receive at least a roadside image of a vehicle license plate, and at least one processor configured to partition the roadside image of the vehicle license plate into one or more segments, and assign the one or more segments to one or more crowd source analysis provider, the one or more crowd source analysis provider being configured to review and recognize at least one character of the vehicle license plate included within an individual segment of the roadside image. In an example, the crowd source analysis provider may allow a reviewer to interact with the individual segment and recognize the at least one character within that segment.