Light Signal Encryption for Semantic Message Comparison
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional communication and message comparison systems are limited to one-way communication and do not facilitate user-to-user communication or message comparison after converting text to light, failing to consider projection of light based on user-input messages.
Innovation Solution
A system and method that encrypts communications, determines and projects light frequencies and intensities, reads and compares these to calculate semantic overlap between messages, enabling user-to-user communication by projecting encrypted messages onto an object and reading the reflected light for comparison.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional systems use one-way light reading for communication, then the system is simple to operate, but the communication functionality is limited and cannot perform user-to-user communication or message comparison
Solution Approach 1:
The system enables multiple communication functions (one-way reading, user-to-user communication, message comparison) through a unified light projection and reading platform. The same light projection device and camera can perform both traditional one-way communication and the new interactive communication modes by combining multiple light signals and comparing their semantic overlap.
Solution Approach 2:
The system combines multiple light signals from different users onto a single projection surface, allowing simultaneous transmission of multiple messages. The camera then reads the combined light signal, and the system compares the semantic overlap between different user inputs to enable message comparison functionality.
2Loss of information
If conventional systems only perform light reading without message comparison, then the device complexity is low, but the loss of information occurs because semantic overlap between messages cannot be determined
Solution Approach 1:
The system introduces an intermediary processing layer that analyzes the combined light signal from multiple users and calculates semantic overlap. This intermediary function preserves semantic information by comparing message meanings rather than just transmitting raw light signals, allowing users to understand the degree of agreement or disagreement between messages.
Solution Approach 2:
The system provides feedback to users about the semantic overlap between their messages and others' messages. By analyzing the combined light signal and calculating similarity metrics, the system returns information about message compatibility, enabling users to adjust their communications based on the feedback received.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables effective user-to-user communication by calculating semantic overlap between messages through light frequencies and intensities, allowing users to determine semantic agreement and take appropriate actions based on the comparison results.
Implementation Method 1
projecting light based on the list of frequencies and intensities of the first communication onto an object, reading the frequencies and intensities of the light based on the first communication from the object
Data Source
AI summary
A method, system, and recording medium for communication comparison including communicating from a first device to a second device by the second device reading frequencies and intensities of light projected, by the first device, on an object.


