Camera-Based Illuminant Control for High-Speed Data Transmission
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Solution Overview
Problem
Existing methods for contactless information transmission are inefficient and lack simplicity in data encoding and decoding, particularly in recognizing changes in illuminant states over time.
Innovation Solution
A method utilizing a camera with a controllable illuminant where the control frequency of the illuminant is less than the image-taking rate, allowing for easy recognition of changes by comparing images, and encoding information through pulse-width-modulation ratios, enabling rapid evaluation and determination of data transmission with minimal storage and computing resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the control frequency of the illuminant is increased to improve data transmission rate, then the data transmission rate is improved, but the illuminant blinking becomes harder to recognize by the camera
Solution Approach 1:
The illuminant is controlled to blink periodically at a frequency that is a multiple of the camera's frame rate. This periodic action ensures that the illuminant state changes occur at predictable intervals that align with the camera's sampling frequency, making the changes detectable while maintaining high data transmission rates through pulse-width modulation encoding.
2Productivity
If pulse-width modulation is used to encode information, then data transmission rate is improved, but the encoding and decoding complexity increases
Solution Approach 1:
Information is encoded by changing the pulse width parameter of the illuminant control signal. Different pulse widths represent different data states (e.g., logic 0 or logic 1). The receiving device decodes this information by measuring the pulse width of each illuminant blink, achieving high-speed data transmission through simple parameter measurement without complex modulation schemes.
3Measurement precision
If all picture elements in large images are evaluated to detect illuminant changes, then detection accuracy is improved, but storage volume and computing capacity requirements increase
Solution Approach 1:
Instead of evaluating all picture elements in large images, the method extracts and evaluates only the specific picture element that corresponds to the illuminant's position. This is achieved by comparing corresponding picture elements from sequential images or by using row and column sum differences to quickly identify the relevant region, dramatically reducing storage and computing requirements while maintaining detection accuracy.
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
This approach enables high data transmission rates with reliable encoding and decoding of information, allowing for rapid evaluation of large images with minimal resources, and precise determination of illuminant changes, even in complex scenarios.
Implementation Method 1
a camera photographs images, especially spaced apart from each other at regular time intervals, particularly with a frame rate
Data Source
AI summary
A method is provided for transmitting information and a device for carrying out the method, in which images are photographed by a camera with an image-taking rate, thus, especially frame rate, a controllable illuminant being disposed in the responsive range of the camera, where the control frequency (f_PWM) of the illuminant is less than the image-taking rate f1.