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 |
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.
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