Banknote Image Sensor Parameter Adjustment for Heat Stability
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Solution Overview
Problem
Banknote processing devices experience decreased efficiency due to prolonged continuous operation, leading to instability in image sensors caused by heat and electrostatic accumulation, resulting in lower banknote identification accuracy.
Innovation Solution
A method and device that utilize an image acquisition module with adjustable parameters, including illuminating time and amplification factors, to reset or correct the image sensor based on calculated change values in substrate image data, ensuring optimal performance by stopping or continuing banknote transportation accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the banknote processing device works continuously for several hours, then the processing efficiency is improved, but the temperature increases and electrostatic accumulation occurs, causing the image sensor working instability and identification accuracy to decline
Solution Approach 1:
The patent implements periodic self-diagnosis and self-adjustment actions during continuous banknote processing. The control unit periodically detects substrate image data, calculates characteristic values, and compares them against reference values to determine when adjustment is needed. This periodic monitoring and adjustment mechanism allows the device to maintain image sensor stability throughout continuous operation, resolving the contradiction between high productivity and reliable operation.
2Reliability
If the working personnel manually turns off and on the power supply to restore identification rate, then the image sensor stability is improved, but the working efficiency is reduced due to pausing and manual intervention
Solution Approach 1:
The patent implements a self-service mechanism where the control unit automatically monitors substrate image data, calculates characteristic values, compares them with reference values, and triggers parameter adjustments without human intervention. When the characteristic value changes exceed a threshold, the system automatically adjusts image acquisition module parameters or resets the image sensor, maintaining identification accuracy while keeping the device continuously operational, thus eliminating the need for manual power cycling and preserving productivity.
Solution Approach 2:
The patent establishes a feedback loop where the control unit continuously monitors substrate image data, calculates characteristic values, and compares them against reference values. This feedback mechanism triggers automatic parameter adjustments or image sensor resets when degradation is detected, maintaining identification accuracy without requiring manual intervention or device pausing, thereby resolving the contradiction between reliability and productivity.
3Measurement precision
If the image acquisition module parameters are adjusted frequently to maintain accuracy, then the identification accuracy is improved, but the device complexity and operation time are increased
Solution Approach 1:
The patent stores reference characteristic values obtained during initial calibration or previous operations. The control unit compares real-time substrate image characteristic values against these pre-stored reference values to detect degradation. This preliminary establishment of reference data simplifies the ongoing operation, as the system only needs to compare against stored values rather than perform complex analysis, reducing operational complexity while maintaining identification accuracy.
Data Source
AI summary
Disclosed is a banknote processing method and device. The banknote processing method includes: scanning a substrate through the image acquisition module while acquiring banknote image data through an image acquisition module to obtain substrate image data; acquiring a characteristic value of the substrate image data; calculating a change value of the characteristic value of the substrate image data relative to a reference characteristic value; judging whether the change value is greater than a preset threshold value; and configuring parameters of the image acquisition module if it is judged that the change value is greater than the threshold value.