Entity Detection for Privacy-Sensitive Display Security
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Solution Overview
Problem
Existing face detection technologies in digital media do not effectively prevent unauthorized entities from viewing privacy-sensitive content displayed on screens, as they lack real-time validation and response mechanisms to ensure only authorized individuals access sensitive information.
Innovation Solution
Implementing an image processing system that captures and analyzes images of a view area in front of a display screen, using face detection and recognition algorithms to validate entities based on authorized lists, and producing security responses such as warnings or disabling the screen if unauthorized individuals are detected.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If face detection technology is used to detect faces in digital media, then the presence and location of human faces can be detected, but unauthorized entities can still view privacy-sensitive content displayed on screens
Solution Approach 1:
The system performs preliminary face detection and recognition before allowing access to privacy-sensitive content. By detecting faces and validating entities against authorized lists in advance, the system ensures only authorized individuals can view sensitive information, thereby improving access control reliability without requiring complex continuous monitoring systems
Solution Approach 2:
The patent introduces an intermediary validation mechanism that sits between the display of privacy-sensitive content and the viewing action. This intermediary layer detects faces, compares them against authorized lists, and controls access accordingly, improving reliability while maintaining manageable system complexity through modular design
2Reliability
If real-time entity validation is implemented, then unauthorized access can be prevented, but system response time and processing speed decrease
Solution Approach 1:
The system performs entity validation in advance before content is displayed or accessed. By pre-validating entities and caching authorization results, the system ensures security reliability while minimizing real-time processing delays, as the heavy computational burden is shifted to preliminary operations
Solution Approach 2:
The patent applies partial validation by focusing computational resources on critical validation tasks such as face recognition and authorized list comparison, while using faster but less thorough checks for routine cases. This selective validation approach maintains security reliability while optimizing processing speed for common scenarios
3Reliability
If face detection and recognition algorithms are used, then entity validation can be performed, but computational resources and processing power requirements increase
Solution Approach 1:
The system applies partial computational action by using lightweight face detection algorithms for initial screening and reserving heavy computational resources for face recognition and validation only when necessary. This selective computation approach maintains validation accuracy for security-critical operations while significantly reducing overall energy consumption compared to continuous heavy processing
Solution Approach 2:
The patent performs preliminary computational tasks such as face detection and feature extraction before more intensive recognition and validation operations. By preparing and caching intermediate results in advance, the system reduces the computational burden during actual validation, thereby maintaining accuracy while lowering real-time energy consumption
4Reliability
If image processing source captures images of view area, then unauthorized entities can be detected, but the view area and display content may be obstructed
Solution Approach 1:
The system performs self-service security monitoring by using the device's existing camera and processing capabilities to detect unauthorized entities. The image processing source captures images of the view area and the system automatically validates entities without requiring external monitoring equipment or obstructing display content, thereby maintaining convenience while ensuring security
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, and including a method are provided where the method includes receiving information from an image processing source that includes one or more images of a view area associated with a device, wherein the view area is an area located in front of a display screen associated with the device, wherein the view area enables one or more entities to view the display screen; determining one or more entities located within the view area based at least in part on the one or more images of the view area associated with the device; validating the one or more entities located within the view area; and when an entity within the view area is not validated, producing a security response.