Bill Validation Using Rotation Sensor Synchronization
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Solution Overview
Problem
Conventional counterfeit bill detectors face accuracy issues due to unstable motor speed causing distorted scanned images, leading to reduced detection accuracy and difficulty in bill recognition.
Innovation Solution
A sensing method utilizing a rotation sensor and control unit to synchronize image scanning by multiple image-sensing modules, converting scanned images into digital values, comparing them with threshold values, and generating validation results to ensure accurate bill validation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple image-sensing modules scan the bill by line-scan method, then image completeness and validation accuracy are improved, but device complexity increases
Solution Approach 1:
The sensing system is divided into multiple independent image-sensing modules, each responsible for scanning a specific line or portion of the bill. This segmentation allows parallel scanning of different bill regions, improving both image completeness and validation accuracy while maintaining manageable system complexity through modular design
Solution Approach 2:
The system transitions from single-point fixed scanning to line-scan method, adding a dimensional aspect to the scanning process. Multiple image-sensing modules scan along a line rather than a single point, capturing more bill information simultaneously and eliminating missing portions while improving validation accuracy
2Productivity
If the motor speed is not stabilized, then scanning speed flexibility is improved, but image distortion occurs and measurement precision deteriorates
Solution Approach 1:
The rotation sensor provides real-time feedback on the motor's rotational position and speed to the control unit. This feedback mechanism allows the control unit to monitor and adjust the scanning process dynamically, ensuring that image scanning is synchronized with bill movement even when motor speed varies, thereby preventing image distortion while maintaining scanning flexibility
Solution Approach 2:
The system employs dynamic scanning where the scanning process adapts to varying motor speeds. The rotation sensor and control unit enable the scanning parameters to change dynamically based on actual motor performance, allowing the system to maintain image accuracy despite speed fluctuations rather than requiring fixed stable motor operation
3Device complexity
If bills are scanned after a preset delay time, then the sensing system simplicity is improved, but synchronization between bill sensing and scanning deteriorates causing distorted images
Solution Approach 1:
The system replaces purely mechanical timing (preset delay) with an integrated sensing-control mechanism. The rotation sensor detects actual bill position and movement, and the control unit uses this information to trigger scanning at the optimal moment, replacing simple time-based control with a feedback-based positional control system that achieves precise synchronization without complex mechanical adjustments
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 enhances the accuracy of bill validation by eliminating distortion and improving image quality, ensuring precise detection of counterfeit bills.
Implementation Method 1
a rotation sensor (11) electrically connected to the control unit (12), wherein the rotation sensor (11) senses a unitary rotational displacement of a gear (202) mounted on a spindle (201) of a motor (200) of the counterfeit bill detector (10)
Implementation Method 2
using multiple image-sensing modules (13) to scan multiple pieces of image information of a bill (30) and converting the multiple pieces of image information into multiple values of digital image
Data Source
AI summary
A sensing method for a counterfeit bill detector includes (i) using multiple image-sensing modules to scan multiple pieces of image information of a bill and converting the multiple pieces of image information into multiple values of digital image, (ii) comparing each value of digital image with a pre-stored image threshold value to generate a reference value, (iii) adding the multiple reference values to generate an image validation value, (iv) comparing the image validation value with a pre-stored validation threshold value to acquire a comparison result, and (v) determining if the multiple pieces of image information are valid according to the comparison result. The sensing method tackles the issue of unsynchronized actions in bill sensing and bill scanning and simultaneously eliminates the problem of distorted scanned bill image arising from entry of misaligned bill to improve accuracy in bill validation.