Invention Grant
- Patent Title: Machine learning based dignity preserving transformation of videos for remote monitoring
-
Application No.: US17559510Application Date: 2021-12-22
-
Publication No.: US11922696B2Publication Date: 2024-03-05
- Inventor: Lily Vittayarukskul
- Applicant: Lily Vittayarukskul
- Applicant Address: US CA San Francisco
- Assignee: Lily Vittayarukskul
- Current Assignee: Lily Vittayarukskul
- Current Assignee Address: US CA San Francisco
- Agency: Fenwick & West LLP
- Main IPC: G06V20/52
- IPC: G06V20/52 ; G01J5/00 ; G01S17/86 ; G06F18/214 ; G06F18/25 ; G06N20/00 ; G06V10/22 ; G06V10/74 ; G06V10/82 ; G06V20/40 ; G06V40/10 ; H04N7/18 ; H04N23/80

Abstract:
A system monitors moveable objects using sensor data captured using one or more sensor mounted on a location of the moveable object. The system uses a machine learning based model to predict a risk score indicating a degree of risk associated with the moveable object. The system determines the action to be taken to mitigate the risk based on the risk score. The system transmits information describing the moveable object based on the sensor data to a remote monitoring system. The system may determine the amount of information transmitted, the rate at which information is transmitted, and the type of information displayed based on the risk score. The system performs dignity preserving transformations of the sensor data before transmitting or storing the data.
Public/Granted literature
- US20220398418A1 MACHINE LEARNING BASED DIGNITY PRESERVING TRANSFORMATION OF VIDEOS FOR REMOTE MONITORING Public/Granted day:2022-12-15
Information query