US 12,458,898 B2
Attraction control system and method using multilayer perceptron neural networks and machine learning
Gregory Rell, Orlando, FL (US)
Assigned to Universal City Studios LLC, Universal City, CA (US)
Filed by Universal City Studios LLC, Universal City, CA (US)
Filed on Sep. 12, 2022, as Appl. No. 17/931,390.
Prior Publication US 2024/0082743 A1, Mar. 14, 2024
Int. Cl. A63G 31/00 (2006.01); G06N 5/022 (2023.01); G06N 20/00 (2019.01)
CPC A63G 31/00 (2013.01) [G06N 5/022 (2013.01); G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A controller for a ride system, the controller comprising:
a processor; and
a memory storing instructions that, when executed by the processor, cause the controller to perform operations comprising:
accessing a data set indicative of conditions in an environment of the ride system in response to an alert indicative of a hindrance for the ride system;
determining a classification from a plurality of classifications for the environment, via a predictive engine trained using supervised machine learning, based on the data set and a ride profile or envelope;
determining one or more recommendations, via the predictive engine, based on the data set and the classification; and
visually or audibly presenting the classification with the one or more recommendations.