Optical Camera Communication Source Authentication
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Solution Overview
Problem
In visible light communication systems, particularly optical camera communications, there is a challenge in authenticating the source of modulated light data to ensure that only trusted and desired data streams are processed, as many types of visible light communications are openly broadcasted to any listener within observable range, leading to the potential use of unknown, unwanted, or unauthorized data.
Innovation Solution
The implementation of authentication techniques in optical camera communications that visually identify and select modulated light data sources using either human input or automated object recognition, allowing for the verification of modulated light data from desired sources while disregarding unauthenticated light sources, thereby preventing the use of rogue data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If authentication techniques are implemented to verify light communication sources, then security and reliability are improved, but device complexity and processing time increase
Solution Approach 1:
The system performs preliminary authentication by capturing an image of the light source and extracting identifying features (logo, text, color pattern) before data communication begins. This preliminary identification and verification process ensures that only authenticated sources are selected for data reception, establishing security and reliability upfront while maintaining efficient subsequent communication.
2Reliability
If authentication techniques are implemented to verify light communication sources, then security and reliability are improved, but processing time increases
Solution Approach 1:
The system performs partial authentication by extracting and verifying only key identifying features (such as logo presence, text content, or color patterns) rather than进行全面 verification. This selective approach to authentication provides sufficient security to distinguish legitimate sources from rogue sources while minimizing the time required for the authentication process.
3Object-affected harmful factors
If visual identification and selection of light sources is performed, then unauthorized data usage is reduced, but ease of operation decreases
Solution Approach 1:
The system performs automated visual identification and authentication of light sources using image processing algorithms that automatically extract features (logo, text, color patterns) and verify them against authentication criteria. This self-service automation eliminates the need for manual verification by the user, preventing unauthorized data usage while maintaining ease of operation, as the authentication process occurs transparently in the background.
Data Source
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AI summary
Various systems and methods for identifying and performing authentication of visible light communications using optical camera communication techniques are described. In an example, an electronic processing system to authenticate a particular light emitting source includes electronic operations for: detecting, from image data, modulated light data emitted from a light emitting object, where the image data depicts the light emitting object, and where the image data is captured with an image sensor (e.g., of a camera); identifying, from the image data, the light emitting object as a source of the modulated light data; receiving an indication to select the light emitting object as an authenticated source of the modulated light data; and performing a command to process the modulated light data from the authenticated source, with the command performed in response to the indication to select the light emitting object as the authenticated source of the modulated light data.