US 12,080,080 B2
Detection, classification, and prediction of bacteria colony growth in vehicle passenger cabin
Rohit Gupta, Santa Clara, CA (US); Ziran Wang, San Jose, CA (US); Yanbing Wang, Nashville, TN (US); Kyungtae Han, Palo Alto, CA (US); and Prashant Tiwari, Santa Clara, CA (US)
Assigned to TOYOTA MOTOR ENGINEERING & MANUFACTURING NORTH AMERICA, INC., Plano, TX (US)
Filed by Toyota Motor Engineering & Manufacturing North America, Inc., Plano, TX (US)
Filed on Jul. 12, 2021, as Appl. No. 17/373,050.
Prior Publication US 2023/0008646 A1, Jan. 12, 2023
Int. Cl. G06V 20/59 (2022.01); G06F 18/214 (2023.01); G06F 18/2413 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06V 20/69 (2022.01); G08B 7/06 (2006.01)
CPC G06V 20/59 (2022.01) [G06F 18/214 (2023.01); G06F 18/2413 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06V 20/698 (2022.01); G08B 7/06 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A computer system, comprising:
a computing server having one or more processors; and
a non-transitory memory operatively coupled to the one or more processors comprising a set of instructions executable by the one or more processors to cause the one or more processors to:
receive, from a client system, captured image data relating to one or more images of one or more target surfaces in a vehicle passenger cabin;
detect a presence of bacteria in the vehicle passenger cabin by applying a first machine learning algorithm to conduct differential image analysis of the captured image data; and
predict growth of classified bacteria by applying a second machine learning algorithm to conduct time-lapsed differential image analysis of the captured image data.