US 12,217,602 B2
Systems and methods involving features of adaptive and/or autonomous traffic control
Kurt B. Robinson, Newcastle, CA (US)
Assigned to FASTec International, LLC, Hinsdale, IL (US)
Filed by Fastec International, LLC, Hinsdale, IL (US)
Filed on Jun. 30, 2020, as Appl. No. 16/916,882.
Application 16/916,882 is a continuation of application No. 15/700,876, filed on Sep. 11, 2017, granted, now 10,699,561.
Application 15/700,876 is a continuation of application No. 14/474,232, filed on Sep. 1, 2014, granted, now 9,761,131, issued on Sep. 12, 2017.
Application 14/474,232 is a continuation of application No. PCT/US2014/049839, filed on Aug. 6, 2014.
Application PCT/US2014/049839 is a continuation of application No. 13/369,233, filed on Feb. 8, 2012, granted, now 8,825,350, issued on Sep. 2, 2014.
Claims priority of provisional application 61/562,607, filed on Nov. 22, 2011.
Prior Publication US 2020/0402392 A1, Dec. 24, 2020
Int. Cl. G08G 1/01 (2006.01); G06V 20/54 (2022.01); G08G 1/042 (2006.01)
CPC G08G 1/0116 (2013.01) [G06V 20/54 (2022.01); G08G 1/0145 (2013.01); G08G 1/042 (2013.01)] 23 Claims
OG exemplary drawing
 
1. A system comprising:
a traffic light controller that implements traffic control using at least one processor;
non-transitory computer readable media having instructions stored thereon for implementing a neural network array, wherein the computer-readable instructions, upon execution by the at least one processor, cause the at least one processor to perform one or more operations;
memory storage coupled to one or both of the traffic light controller and/or the neural network subsystem;
communication input circuitry and/or communication output circuitry coupled to one or both of the traffic light controller and/or the neural network subsystem; and
a plurality of sensor inputs provided to the system;
wherein the system includes additional headroom to expand and/or upgrade the traffic light controller via addition of additional inputs, traffic object(s) neural network recognition training information and/or subcomponents, and/or control decision training information and/or subcomponents;
wherein the one or more operations include:
performing recognition of the traffic types using the neural network array having a plurality of sensor inputs from video sensors, physical sensors in infrastructure of the traffic light system, and other sensor inputs from one or more electromagnetic sensors; and
wherein the other sensor inputs include an infrared traffic input providing detection capability of vehicle type and passenger quantity from transmission of various electromagnetic spectra data types.