Implanted Camera Occlusion for Privacy Protection
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Solution Overview
Problem
Implantable technologies, such as cameras and displays, pose security concerns as they can inadvertently compromise the privacy and security of those around the user by allowing unauthorized recording in restricted areas without the user's knowledge or consent.
Innovation Solution
An analysis engine processes image data from an implanted camera to identify unviewable elements, using occlusion techniques such as altering transparency or overlaying graphics to prevent the user from seeing these elements, and disabling recording functions within designated areas or upon recognition of specific codes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If an implanted camera is used to enable users to see and access information, then the user's visual access and information retrieval are improved, but the privacy and security of surrounding people are compromised due to unauthorized recording capability
Solution Approach 1:
The patent introduces an intermediary system consisting of an analysis engine and occlusion device that mediates between the implanted camera's recording function and privacy protection requirements. The analysis engine continuously monitors captured images, identifies sensitive elements, and triggers occlusion actions to prevent unauthorized recording of private information while maintaining the camera's primary viewing function.
Solution Approach 2:
The system applies preliminary anti-action by proactively preventing unauthorized recording before it occurs. The analysis engine is configured with predefined rules and machine learning models that predict and identify potential privacy violations in advance, triggering occlusion actions to block the camera's view of sensitive elements before the recording can compromise privacy.
2Productivity
If the implanted camera continuously records to maintain functionality, then the user experience is improved, but security concerns arise as operators cannot know if recording is occurring in restricted areas
Solution Approach 1:
The patent implements a feedback mechanism where the analysis engine continuously provides information about the camera's recording status and detected sensitive elements. This feedback loop allows the system to adjust recording behavior in real-time based on the environment, informing operators about potential security issues while maintaining continuous camera functionality for legitimate purposes.
Solution Approach 2:
The system transforms the static recording function into a dynamic one that adapts to changing environmental conditions. The camera's recording capability is made dynamic through real-time analysis of captured images and adjustment of recording parameters based on detected sensitive elements, location data, and contextual information about restricted areas.
3Object-affected harmful factors
If occlusion is applied to block unviewable elements, then privacy protection is improved, but the user's ability to see through the implanted device is reduced
Solution Approach 1:
The patent applies local quality by implementing occlusion only in specific regions of the visual field where sensitive elements are detected, rather than applying blanket occlusion across the entire field of view. This allows the user to maintain clear vision in most areas while privacy protection is applied locally to specific sensitive elements identified by the analysis engine.
Solution Approach 2:
The system uses partial action by applying occlusion only to the extent necessary to protect privacy, rather than completely blocking the entire view. The occlusion device selectively obscures only the portions of the visual field containing sensitive elements, maintaining visual clarity in all other areas while providing sufficient privacy protection.
Data Source
AI summary
An implantable system includes an implanted camera that captures images. An analytics engine analyzes the images to determine whether any objects or aspects of the captured image is considered an unviewable element. Upon determining that an unviewable element is present, the analytics engine causes an occlusion device to occlude the unviewable element from the user's view. The occlusion can also affect the ability of the camera to continue to see the unviewable element.