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This project presents a low-cost currency recognition system aimed at assisting visually impaired individuals in distinguishing between American banknotes. By utilizing infrared sensors, tactile outputs in standard Braille, and ensuring error protection, the system reads various denominations ($1, $5, $10, $20, $50, and $100) with high accuracy. The paper discusses background challenges faced by the visually impaired, outlines the system overview from input bill recognition to output mechanisms, and explores future opportunities for enhancements, including international currency recognition.
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Currency Identifier ECE 445 Summer 2006 Group # 4 Wilson Yum Edward Chen TA: Alexander Spektor
Introduction • Distinguish bills using infrared • Tactile output
Features • Reads $1, $5, $10, $20, $50, $100 • Tactile output in standard Braille • Error protection • Low cost of production
Background • American bills are difficult to distinguish for the visually impaired
Possible Solutions Euro Canadian Currency
Current Solutions • Rely on non-visually impaired individuals • Different folding techniques • No commercial devices available
System Overview Input Bill Recognition Output Infrared LED, Phototransistor PIC16F877A FET, Solenoid
Input Hardware • 8 Infrared LEDs • 8 Infrared Phototransistors IR LED IR Reflection off Bill IR LED Phototransistor Turn on Phototransistors 8 Heat Shrink Bill Surface
Phototransistors Infrared LEDs
Bill Recognition Subtract Measurements from Stored data Analog Digital 8 Evaluate Differences Determine Denomination 12
Recognition Tolerance Count # of sensor measurement matches for each orientation Take measurements If 6 or more sensors match, mark as possible denomination Multiple denominations? 0 or more than 1 matches, output ERROR 1 match, output value Positive bill recognized
Outputs to FETs Inputs from infrared phototransistor
ack - Output Hardware • 12 Solenoids, 12 Transistors, 3 Voltage Regulators, 12 Spike Protection Diodes Transistor From PIC power - Solenoid
Output Circuit Input from PIC Three sets of four solenoids
Output FETs Solenoid Array
Enclosure IR LED and phototransistor opening Mounting tape Bill slot Bottom view [bottom plate removed]
Data Collection • 10 bills per series per denomination • 4 orientations per bill • Build test device to output integer after ADC
ack - ack - ack - ack - power - power - power - power - Bill Orientations Orientation 1: Orientation 2: Orientation 4: Orientation 3:
Sensor 1-2 2-3 3-4 4-5 5-6 6-7 7-8 Positions
Data Results • Average values yield better standard deviations than differences • Using 11 as limit allows matches for each denomination • 6 or more sensors must be within limits to qualify as an identification
Complications • Bill series differences • Current draw of solenoids
12% 26% 38% 24%
Improvements • Solenoid • Shorter/smaller solenoid • Piezoelectric actuator • Tingle output • Infrared Emitter/Phototransistor • Voltage regulate infrared LEDs • Portable power source • Heat dissipation for extended use
Feature Extensions • Summing ability • Increased Series recognition • Foreign currency recognition • Output • Audible output • Morse Code, prerecorded message • Tactile • 6 pins, series of 1 pin extension, series of zaps
SWOT Conclusion • Strengths: • Bill recognition using infrared sensors proved very reliable • 100% accuracy, 100% identification • Low production cost • Weaknesses: • 25% of bill orientations did not produce positive identification on initial insertion • Power consumption of solenoids • Opportunities: • 1.3 million legally blind Americans • Extendable to foreign currencies • Threats: • New currency series
Credits • Professor Gary Swenson • Alexander Spektor • Scott McDonald