US 12,169,970 B2
Machine learning based remote monitoring of moveable objects using sensor data
Lily Vittayarukskul, San Francisco, CA (US)
Filed by Lily Vittayarukskul, San Francisco, CA (US)
Filed on Dec. 21, 2021, as Appl. No. 17/558,410.
Claims priority of provisional application 63/208,792, filed on Jun. 9, 2021.
Prior Publication US 2022/0398847 A1, Dec. 15, 2022
Int. Cl. G06V 20/00 (2022.01); G06F 18/214 (2023.01); G06F 18/25 (2023.01); G06N 20/00 (2019.01); G06V 10/22 (2022.01); G06V 10/74 (2022.01); G06V 10/82 (2022.01); G06V 20/40 (2022.01); G06V 20/52 (2022.01); G06V 40/10 (2022.01); H04N 7/18 (2006.01); H04N 23/80 (2023.01); G01J 5/00 (2022.01); G01S 17/86 (2020.01)
CPC G06V 20/52 (2022.01) [G06F 18/214 (2023.01); G06F 18/2148 (2023.01); G06F 18/251 (2023.01); G06N 20/00 (2019.01); G06V 10/225 (2022.01); G06V 10/74 (2022.01); G06V 10/82 (2022.01); G06V 20/46 (2022.01); G06V 40/103 (2022.01); H04N 7/183 (2013.01); H04N 23/80 (2023.01); G01J 5/0025 (2013.01); G01S 17/86 (2020.01)] 20 Claims
OG exemplary drawing
 
1. A computer implemented method for remote monitoring of a moveable object, the method comprising:
receiving sensor data captured by one or more sensors mounted on a mobile device placed in a location, the sensor data representing a moveable object being monitored within the location and environment surrounding the moveable object;
providing input based on the sensor data to a machine learning model, the machine learning model trained to receive a representation of input sensor data representing a particular moveable object and environment surrounding the particular moveable object and predict a risk score for the particular moveable object, the risk score representing a likelihood of the moveable object reaching a state determined to be high risk for the particular moveable object;
executing the machine learning model to predict a risk score value for the moveable object being monitored;
determining information for transmitting to a remote monitoring system; and
transmitting the determined information to the remote monitoring system, wherein the remote monitoring system displays a low bandwidth representation of the state of the moveable object if the risk score value indicates a low risk and the remote monitoring system displays a high bandwidth representation of the state of the moveable object if the risk score value indicates a high risk.