LICENSE PLATE DISTRIBUTED REVIEW SYSTEMS AND METHODS

• US 20160300119A1
• Filed: 04/08/2016
• Published: 10/13/2016
• Est. Priority Date: 04/09/2015
• Status: Active Grant

• Current Assignee: VeriToll LLC
• Original Assignee: VeriToll LLC
• Inventors: Silva, Joseph C., Higgins, Christopher T.
• Granted Patent: US 10,235,332 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/2228 Indexing structures
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06V 20/54 of traffic, e.g. cars on the road, trains or boats
• CPC Class Codes: G06V 20/625 License plates

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.

Claims

1. A system for license plate matching comprising:

a system interface configured to receive roadside data from a remote device, the roadside data including at least a roadside image of a vehicle license plate including a series of characters; and

at least one processor operatively connected to a memory and the system interface, the processor when executing configured to;

partition the roadside image of the vehicle license plate into one or more segments, each segment of the one or more segments including at least one character of the series of characters, 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 recognize the at least one character included within an individual segment of the one or more segments of the roadside image of the vehicle license plate.

2. The system for license plate matching according to claim 1, wherein the one or more segments includes at least a first segment and a second segment, and the one or more crowd source analysis provider includes at least a first crowd source analysis provider and a second crowd source analysis provider, and wherein the first crowd source analysis provider is configured to recognize a first character included within the first segment and the second crowd source analysis provider is configured to recognize a second character included within the second segment.

3. The system for license plate matching according to claim 2, wherein the processor when executing is further configured to receive and combine the recognition of the first character and the recognition of the second character.

4. The system for license plate matching according to claim 1, wherein the one or more segments includes at least a first segment and a second segment, and the one or more crowd source analysis provider includes a first crowd source analysis provider and a second crowd source analysis provider, and wherein each of the first crowd source analysis provider and the second crowd source analysis provider are configured to recognize a first character within the first segment of the roadside image of vehicle license plate.

5. The system for license plate matching according to claim 1, wherein the one or more crowd source analysis provider includes a user device executing a software component within a reviewer interactive web-based application.

6. The system for license plate matching according to claim 5, wherein the user device includes a visual display configured to display the one or more segments of the roadside image of the vehicle license plate.

7. The system for license plate matching according to claim 6, wherein the visual display of the user device is further configured to receive a reviewer selection to recognize the at least one character included within the individual segment of the one or more segments of the roadside image of the vehicle license plate.

8. The system for license plate matching according to claim 7, wherein in receiving the reviewer selection the visual display is configured to receive at least one of a directional touch input, a yes/no indicator selection, and a keyboard selection.

9. The system for license plate matching according to claim 6, wherein the software component includes an automated test to tell humans and computing devices apart.

10. The system for license plate matching according to claim 1, wherein the one or more segments include one or more vertical slices of the roadside image of the vehicle license plate.

11. The system for license plate matching according to claim 1, wherein the processor is further configured to execute an optical character recognition algorithm prior to assignment of the one or more segments to the one or more crowd source analysis provider.

12. The system for license plate matching according to claim 11, wherein in recognizing the at least one character included within the individual segment, the one or more crowd source analysis provider is configured to confirm at least one character identified by the optical character recognition algorithm.

13. A method for license plate matching, the method comprising:

receiving roadside data including at least a roadside image of a vehicle license plate including a series of characters;

partitioning the roadside image of the vehicle license plate into one or more segments, each segment of the one or more segments including at least one character of the series of characters;

assigning the one or more segments to one or more crowd source analysis provider; and

recognizing the at least one character included within an individual segment of the one or more segments of the roadside image of the vehicle license plate at the one or more crowd source analysis provider.

14. The method for license plate matching according to claim 13, wherein the one or more segments includes at least a first segment and a second segment, and the one or more crowd source analysis provider includes a first crowd source analysis provider and a second crowd source analysis provider, and wherein recognizing the at least one character includes recognizing a first character within the first segment and recognizing a second character within the second segment of the roadside image of the vehicle license plate.

15. The method for license plate matching according to claim 14, the method further comprising combining the recognition of the first character and the recognition of the second character.

16. The method for license plate matching according to claim 13, wherein the one or more segments includes at least a first segment and a second segment, and the one or more crowd source analysis provider includes at least a first crowd source analysis provider and a second crowd source analysis provider, and wherein recognizing the at least one character includes recognizing a first character within the first segment at the first crowd source analysis provider and recognizing the first character within the first segment at the second crowd source analysis provider.

17. The method for license plate matching according to claim 13, further comprising displaying the one or more segments at a visual display of a user device executing a reviewer interactive web-based application.

18. The method for license plate matching according to claim 17, wherein recognizing the at least one character included within the individual segment of the one or more segments of the roadside image of the vehicle license plate includes receiving a reviewer selection at the visual display of the user device.

19. The method for license plate matching according to claim 13, the method further comprising executing an optical character recognition algorithm to identify individual characters of the series of characters, and wherein recognizing the at least one character included within the individual segment includes confirming at least one of the individual characters identified by the optical character recognition algorithm.

20. A system for license plate matching comprising:

a system interface configured to receive roadside data from a remote device, the roadside data including at least a roadside image of a vehicle license plate including a series of characters; and

at least one processor operatively connected to a memory and the system interface, the processor when executing configured to;

assign the roadside image of the vehicle license plate to one or more crowd source analysis provider,

provide one or more composite image of a virtual vehicle license plate to the one or more crowd source analysis provider, and

wherein, the one or more crowd source analysis provider is configured to recognize at least one character of the series of characters of the vehicle license plate based on a comparison to the one or more composite image of the virtual vehicle license plate.