US 12,148,043 B2
Systems and methods for estimating monetary loss to an accident damaged vehicle
Xi Yao, Bellevue, WA (US); Ruei-Sung Lin, Redwood City, CA (US); Kun Li, Saratoga, CA (US); and Zijia Chen, Mountain View, CA (US)
Assigned to PING AN TECHNOLOGY (SHENZHEN) CO., LTD, Shenzhen (CN)
Filed by PING AN TECHNOLOGY (SHENZHEN) CO., LTD., Shenzhen (CN)
Filed on Nov. 8, 2021, as Appl. No. 17/521,821.
Prior Publication US 2023/0142507 A1, May 11, 2023
Int. Cl. G06K 9/00 (2022.01); G06F 18/213 (2023.01); G06F 18/214 (2023.01); G06Q 40/08 (2012.01); G06V 20/20 (2022.01)
CPC G06Q 40/08 (2013.01) [G06F 18/213 (2023.01); G06F 18/214 (2023.01); G06V 20/20 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A system for estimating an amount of monetary loss to an accident damaged vehicle, comprising:
a communication interface configured to receive one or more accident images taken of the accident damaged vehicle;
a database for storing loss data of past vehicles, each past vehicle being associated with a historical accident; and
a processor coupled to the communication interface and the database and configured to:
detect the accident damaged vehicle in the one or more accident images;
apply a trained model to identify one or more most similar past vehicles from the past vehicles; and
estimate the amount of monetary loss to the accident damaged vehicle based on the loss data of the one or more most similar past vehicles,
wherein the processor is further configured to:
select one or more past vehicles for evaluation from the past vehicles; and
evaluate the trained model by calculating at least one of an average amount of monetary losses to the one or more past vehicles for evaluation or a relative similarity.