Multi-Wavelength Sheet Recognition With Output Data Correction
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Solution Overview
Problem
Existing sheet recognition systems face reduced accuracy due to variations in output data caused by environmental factors such as temperature shifts and light guide transmittance fluctuations, particularly in the infrared region, leading to insufficient discrimination between authentic and counterfeit objects.
Innovation Solution
A sheet recognition unit and method that utilizes a light source and receiver system with an acrylic resin light guide, combined with a controller for correcting output data using data from regions with and without the object to be recognized, and applying multiple wavelengths to improve recognition accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If light beams of multiple wavelengths are applied to a sheet for recognition, then the discrimination ability between authentic and counterfeit objects should improve, but the output data variations due to environmental reasons (temperature, light guide transmittance) increase particularly in infrared region
Solution Approach 1:
The patent introduces a light guide as an intermediary component to transmit light from the light source to the sheet. The light guide is specifically designed with material and structural properties that minimize the impact of temperature variations and other environmental factors on light transmission, thereby stabilizing the output data while maintaining the benefits of multi-wavelength illumination.
Solution Approach 2:
The patent employs parameter changes by adjusting the wavelengths of light beams applied to the sheet. By selecting specific wavelengths (including infrared) and modifying their intensity ratios, the system optimizes discrimination between authentic and counterfeit objects while compensating for environmental variations through controlled parameter adjustments.
2Productivity
If output data from light receiver is used directly for recognition processing, then the processing speed is maintained, but the recognition accuracy is reduced due to data variations from environmental factors
Solution Approach 1:
The patent implements preliminary action by pre-characterizing the optical properties of the light guide and establishing correction algorithms before actual recognition processing. Environmental compensation parameters are predetermined through calibration procedures, allowing the system to quickly adjust for environmental variations during operation without sacrificing processing speed.
3Adaptability or versatility
If light guide transmittance fluctuates depending on wavelength, then the light distribution to the sheet varies, but this causes significant output data variations particularly in infrared region
Solution Approach 1:
The patent applies local quality by optimizing the light guide properties for specific wavelength ranges. The light guide material and structure are designed to provide stable transmittance characteristics in the infrared region, while the system independently controls and compensates for variations in other wavelength regions, ensuring overall output data consistency across the full spectral range.
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
The system effectively reduces variations in output data, enhancing the recognition accuracy of sheets, particularly for inks with special reflectance characteristics, by correcting and standardizing data across different wavelengths.
Implementation Method 1
a light source (11a, 11b, 111) for applying light to a banknote BN
Implementation Method 2
a light receiver (13a, 13b, 113) for receiving light emitted from each light source (11a, 11b, 111) and then reflected on the banknote BN
Implementation Method 3
fluctuation in transmittance of a light guide (15a, 15b) of the light source (11a, 11b) depending on the wavelength
Data Source
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Figure 6~8
AI summary
Provided are a sheet recognition unit, a sheet recognition method, and a sheet recognition program each capable of improving the recognition accuracy on a sheet. The sheet recognition unit is a sheet recognition unit for recognizing a sheet provided with an object to be recognized, including: a light source configured to apply light to the sheet; a light receiver configured to receive light traveling from the sheet; and a controller configured to acquire output data from the light receiver, the controller being configured to acquire first data being output data from the light receiver and corresponding to a region including the object to be recognized and second data being output data from the light receiver and corresponding to a region not including the object to be recognized, to correct the first data using the second data to generate third data, and to recognize the sheet based on the third data.