AR Camera Interface for Granular Enterprise Image Protection
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Solution Overview
Problem
Existing technologies impose blanket restrictions on camera usage in enterprise settings, which are not foolproof and can lead to employee dissatisfaction, as they do not provide granular control over camera usage, restricting both authorized and unauthorized access to sensitive information.
Innovation Solution
The implementation of an augmented reality-based image protection system that uses a management service to integrate camera applications, enabling secure and seamless camera usage by overlaying enterprise information onto the real world based on user permissions, locations, and objects, preventing unauthorized capture or viewing of confidential data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If blanket restrictions on camera usage are imposed, then security is improved, but employee satisfaction and operational flexibility deteriorate
Solution Approach 1:
The patent segments camera usage permissions into different levels and contexts. Instead of a single blanket restriction, the system divides control into authorized vs. unauthorized access, protected vs. non-protected areas, and different permission levels for different users. This segmentation allows employees to use cameras freely in non-sensitive contexts while automatically blocking access to protected information, thus maintaining security without unnecessarily restricting operational flexibility.
Solution Approach 2:
The system applies different quality levels of camera access to different spatial locations and information zones. Protected areas and sensitive information are identified and marked, creating local zones with restricted access properties. When a camera detects protected information in its field of view, restrictions are applied locally to that specific capture attempt rather than globally to all camera usage, allowing employees to continue using cameras in non-sensitive areas without interruption.
2Adaptability or versatility
If device management software is installed to control camera usage, then control capability is improved, but device complexity and employee autonomy worsen
Solution Approach 1:
The patent introduces an intermediary component - the managed camera application - that sits between the employee and the camera hardware. This intermediary application handles all the complex control logic, permission checking, and capture blocking operations. The employee interacts with a simple, familiar camera interface while the intermediary silently enforces security policies by detecting protected information and preventing captures of sensitive data, thus providing strong control capability without adding visible complexity for the employee.
Solution Approach 2:
The system implements self-service mechanisms where the managed camera application automatically detects protected information, determines appropriate permission levels, and enforces restrictions without requiring employee intervention or configuration. The application autonomously monitors its own operation, checks against security policies, and adjusts its behavior based on the detected context, reducing the need for complex user-side device management while maintaining adaptability.
Data Source
AI summary
Disclosed are various examples for augmented reality based image protection in enterprise settings. In one example, a managed camera application can generate an artificial reality based camera user interface using image data from a field of view of a camera. An indoor position can be identified using global positioning system (GPS) and indoor positioning data. A sector of the field of view can be identified as a protected image area that depicts a protected or confidential object, and the user interface can be updated to include an AR user interface element that is generated relative to the protected image area that is identified.