US 12,002,274 B2
Gamified alphanumeric character identification
Joshua LittleSun, Plano, TX (US); Thomas J. Owen, Haltom City, TX (US); Benjamin McCord, McKinney, TX (US); and Scott Cote, Allen, TX (US)
Assigned to ELECTRONIC TRANSACTION CONSULTANTS, LLC, Richardson, TX (US)
Filed by Electronic Transaction Consultants, LLC, Richardson, TX (US)
Filed on Aug. 24, 2021, as Appl. No. 17/410,271.
Claims priority of provisional application 63/069,503, filed on Aug. 24, 2020.
Prior Publication US 2022/0058415 A1, Feb. 24, 2022
Int. Cl. G06V 30/199 (2022.01); A63F 13/46 (2014.01); A63F 13/80 (2014.01); G06F 18/21 (2023.01); G06V 20/62 (2022.01); G06V 30/148 (2022.01)
CPC G06V 30/199 (2022.01) [A63F 13/46 (2014.09); A63F 13/80 (2014.09); G06F 18/2178 (2023.01); G06V 20/62 (2022.01); G06V 20/625 (2022.01); G06V 30/153 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A method performed by a computing system, the method comprising:
receiving from a first detection system, an image of a license plate;
applying an optical recognition function to characters of the license plate;
assigning a confidence value to each of the characters;
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,
wherein the characteristic includes at least one of: the character being darker than a background, the character being lighter than the background, and the character being blurry, or the character being at least partially obstructed.