Object-Selective Manufacturing Video Censorship for Remote Verification
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Solution Overview
Problem
Existing methods fail to effectively distribute censored videos of manufacturing procedures to remote viewers while ensuring operator privacy and data security, particularly in complex manufacturing facilities with multiple make lines and diverse viewer credentials.
Innovation Solution
A computer system implements object and audio recognition techniques to identify relevant and irrelevant content in video and audio feeds, applying censorship specifications to generate censored feeds for remote viewers based on operator privacy settings and viewer credentials, while maintaining data integrity and security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video feeds from manufacturing facilities are distributed to remote viewers, then verification and quality control are enhanced, but operator privacy and data security are compromised
Solution Approach 1:
The system extracts and removes sensitive information from video feeds before distribution. Computer vision algorithms identify and redact operator faces, identification badges, and confidential manufacturing data, allowing remote viewers to access video content for verification purposes while sensitive elements are selectively removed to protect privacy and security
Solution Approach 2:
Different levels of censorship and access control are applied to different regions and elements within the video feed. Critical areas such as operator faces and sensitive equipment are heavily censored, while non-sensitive procedural areas maintain full visibility, enabling verification without compromising privacy
2Object-affected harmful factors
If censorship is applied to video feeds to protect privacy, then operator privacy is maintained, but data integrity and usefulness for verification are reduced
Solution Approach 1:
An intelligent processing system acts as an intermediary between the original video feed and remote viewers. This system applies selective censorship algorithms that preserve essential procedural information while removing only the specific elements that compromise privacy, maintaining data usefulness for verification purposes
Solution Approach 2:
The system dynamically adjusts censorship parameters based on the specific context of each video frame and the credentials of the remote viewer. Different viewers receive different levels of access, with censorship intensity and targeted elements modified according to authorization levels and procedural sensitivity
3Reliability
If multiple viewers with different credentials access video feeds, then access control and security are improved, but system complexity increases
Solution Approach 1:
The video distribution system implements a universal access control framework that handles multiple viewer credentials and permission levels through a single integrated platform. The system automatically authenticates users, determines appropriate censorship levels, and delivers customized video feeds based on credentials, eliminating the need for separate systems for different viewer types
4Object-affected harmful factors
If real-time video processing is implemented for censorship, then privacy protection is maintained, but processing time and computational resources increase
Solution Approach 1:
The system pre-processes video feeds by identifying and flagging sensitive elements such as operator faces and confidential information before distribution. By performing initial censorship operations in advance and caching processed segments, the system reduces real-time processing requirements while maintaining continuous privacy protection
Data Source
AI summary
One variation of the method for distributing censored videos of manufacturing procedures performed within a facility includes: accessing a video feed captured by a local device interfacing with a local operator during performance of a procedure within the facility; interpreting a set of objects depicted in the video feed based on features extracted from the video feed; accessing a minimum censorship specification for the procedure, the minimum censorship specification defining a set of object types corresponding to a first degree of censorship; identifying a subset of objects, in the set of objects, depicted in the video feed related to the procedure based on the set of object types defined in the minimum censorship specification; fogging the subset of objects in the video feed to generate a censored video feed; and serving the censored video feed to a remote viewer portal accessed by a remote viewer.


