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Coin Width Measurement Device With Quadrant-Based Ai Analysis System
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Abstract
Information
Inventors
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Specification
Documents
ORDINARY APPLICATION
Published
Filed on 16 November 2024
Abstract
The present invention introduces an innovative coin width measurement device designed to enhance precision and reliability in assessing coin uniformity for quality control and currency verification applications. The device features a measurement platform with four marked quadrants (0°, 90°, 180°, and 270°) to securely position coins for evaluation. Spring-fixed needles, strategically located in each quadrant, are equipped with calibrated springs to ensure consistent pressure and precise width measurement. Embedded sensors capture data from each needle, providing quadrant-specific measurements of the coin's width. An integrated AI-enabled data processing unit leverages a machine learning algorithm to analyze measurements, comparing widths across quadrants for discrepancies or irregularities beyond predefined thresholds. The device highlights significant variations via a digital display interface, enabling quick identification of non-standard coins. This system not only ensures high accuracy in detecting irregularities but also allows for continuous improvement through adaptive learning from cumulative data. The inclusion of optional non-contact laser-based sensors further enhances measurement precision, minimizing manual errors. By combining robust mechanical design with advanced AI capabilities, the invention addresses limitations of traditional methods, offering a reliable solution for industries requiring meticulous coin dimension verification. This device is particularly valuable in applications where minor deviations in coin shape or uniformity could compromise operational integrity or authenticity.
Patent Information
Application ID | 202441088801 |
Invention Field | COMPUTER SCIENCE |
Date of Application | 16/11/2024 |
Publication Number | 47/2024 |
Inventors
Name | Address | Country | Nationality |
---|---|---|---|
VARANASI RAHUL | No 149, Lakshmi Venkateswara Nilayam, Old Cannasandra Road | India | India |
Applicants
Name | Address | Country | Nationality |
---|---|---|---|
VARANASI RAHUL | No 149, Lakshmi Venkateswara Nilayam, Old Cannasandra Road | India | India |
Specification
Description:TECHNICAL FIELD:
[1] The present invention relates to measurement devices, specifically for measuring the width of coins. The device utilizes spring-fixed needles to assess width variations across four quadrants, coupled with an AI mechanism to detect discrepancies or irregularities in coin shape.
BACKGROUND:
[2] In quality control and currency verification, accurate measurement of coin dimensions is essential. Traditional methods may not account for minor variations across a coin's width in different quadrants, potentially missing irregularities. This device seeks to improve accuracy by measuring and comparing the width in each quadrant of the coin.
SUMMARY OF THE INVENTION:
[3] This invention presents a device equipped with spring-loaded needles positioned at four quadrants around the coin's circumference. Each needle can independently measure the width at its respective position. The device incorporates an AI-enabled system that collects data from each quadrant and identifies any discrepancies, providing a precise assessment of the coin's uniformity.
DESCRIPTION OF THE INVENTION:
[4] Structure:
Measurement Platform: A platform to hold the coin, with four marked quadrants (0°, 90°, 180°, and 270°).
Spring-Fixed Needles: Positioned in each quadrant, these needles are adjustable and designed to press gently against the coin to measure its width accurately. Each needle has a calibrated spring to maintain consistent pressure.
Sensors: Embedded within the needle assemblies, these sensors capture the width of the coin at the contact point in each quadrant.
[5] AI-Enabled Analysis Mechanism:
Data Processing Unit: This unit processes the input from the sensors, converting the physical measurements into digital data.
Machine Learning Algorithm: Trained to detect variations, this algorithm compares the data across quadrants. If the width differs beyond a specified threshold, it triggers an alert, flagging the coin as potentially non-uniform.
Display Interface: A digital interface displays measurements and alerts the user to any detected inconsistencies.
[6] Operation:
The user places the coin on the measurement platform.
The spring-fixed needles contact the coin at each quadrant, and the sensors capture width measurements.
The data processing unit feeds the measurements into the AI system, which analyzes differences between the quadrants.
Any significant discrepancies are highlighted on the display, allowing for quick identification of non-standard coins.
, Claims:I / We Claim,
1. A coin width measurement device comprising:
- A measurement platform to hold the coin in a fixed position with marked quadrants.
- Four spring-fixed needles, each positioned at 0°, 90°, 180°, and 270°, configured to contact the coin and measure its width in each respective quadrant.
- A set of sensors integrated with each needle for capturing precise width measurements.
- An AI-enabled data processing unit to analyze the data received from each sensor, identifying and highlighting width discrepancies between quadrants.
2. The device of claim 1, wherein the springs in the needles are calibrated to exert consistent pressure, minimizing measurement variations due to manual handling.
3. The device of claim 1, further comprising a machine learning algorithm within the data processing unit trained to detect and alert on width irregularities exceeding a predefined threshold.
4. The device of claim 1, further comprising a display interface to show quadrant-specific measurements and alert the user to any detected inconsistencies.
5. The device of claim 1, wherein the AI system updates and refines its assessment criteria based on cumulative measurement data, enhancing the accuracy of anomaly detection over time.
6. The device of claim 1, wherein the sensors use non-contact laser-based technology to enhance measurement accuracy.
Documents
Name | Date |
---|---|
202441088801-COMPLETE SPECIFICATION [16-11-2024(online)].pdf | 16/11/2024 |
202441088801-DRAWINGS [16-11-2024(online)].pdf | 16/11/2024 |
202441088801-FORM 1 [16-11-2024(online)].pdf | 16/11/2024 |
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