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Private cloud processing

A cloud processing and processed technology, applied in the field of private cloud processing, can solve the problems of occupant privacy infringement and other issues

Pending Publication Date: 2021-06-25
GM GLOBAL TECH OPERATIONS LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, sending occupant-related data to the cloud exposes occupants to potential privacy violations

Method used

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  • Private cloud processing
  • Private cloud processing
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Examples

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Embodiment Construction

[0067] Various embodiments of the present disclosure provide a technique for protecting occupant privacy in applications in which cabin content processing is assisted by cloud computing. This technique typically involves cloud-based distributed machine learning, where individual (each) distributed cloud processing nodes receive corresponding data portions (or data items) of cabin contents for processing. These data items can be parsed from the cabin content within the vehicle such that the occupant(s) privacy aspect(s) (e.g., identity, identification, personal features, etc.). The cloud-processed data portion (or processed item) is then returned to the vehicle. After the processed items are locally incorporated back into the vehicle, it is possible to perform meaningful processing that facilitates identifying occupant(s), identifying occupant(s) and / or determining (one or more) Multiple) the personal characteristics of the occupants.

[0068] Separate distributed cloud proc...

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PUM

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Abstract

A privacy system having at least one sensor and a device. The sensor may be operational to generate sensor data in response to a user. The device may be in communication with the sensor, in communication with multiple distributed cloud processing nodes, and operational to decompose the sensor data into multiple data items, transmit the multiple data items to the multiple distributed cloud processing nodes, receive multiple processed items from the multiple distributed cloud processing nodes, and generate output data based on the multiple processed items. Individual ones of the multiple distributed cloud processing nodes are operational to generate a corresponding one of the multiple processed items in response to the corresponding one of the multiple data items, a privacy aspect of the user is indeterminable from individual ones of the multiple data items, and the privacy aspect of the user is determinable from the output data.

Description

technical field [0001] introduction [0002] The present disclosure relates to systems and methods for private cloud processing. Background technique [0003] Advanced vehicles incorporate facial monitoring, voice monitoring, posture assessment and detection of occupants inside the vehicle. Monitoring and detection features are used to facilitate autonomous driving applications and advanced human-machine applications. For example, facial recognition allows automatic verification of occupants in fleets of autonomous vehicles. Occupant detection can determine if a person is left alone in the back seat of a given vehicle. [0004] Applications are increasingly dependent on cloud computing due to increased data rates and computational complexity. However, sending occupant-related data to the cloud exposes occupants to potential privacy violations. Even where data is encrypted before it is sent to the cloud, it is no longer private after it is decrypted in the cloud to allow...

Claims

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Application Information

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IPC IPC(8): H04L29/08B60R21/015
CPCH04L67/10H04L67/12B60R21/0153H04W4/44H04W4/38
Inventor A·巴诺夫E·齐克尔-汉科克
Owner GM GLOBAL TECH OPERATIONS LLC