Development Of Money Counting Machine By Arm Based Microcontroller

The development of a money counting machine utilizing an ARM-based microcontroller involves intricate hardware and software integration. The ARM microcontroller serves as the core processing unit, managing the input from various sensors, such as optical or magnetic sensors for detecting banknotes, and implementing algorithms for accurate counting and denomination recognition. Through sophisticated programming, the microcontroller interprets sensor data to distinguish between different currencies and denominations, ensuring precise counting. Additionally, the integration of user interface components like displays and input devices allows for user interaction, facilitating ease of operation. Security features such as encryption and authentication protocols are also crucial aspects, safeguarding against counterfeiting and unauthorized access. Moreover, optimization for power efficiency and compactness enhances portability and usability. This innovative solution caters to the growing demand for efficient cash handling in diverse settings, ranging from retail environments to financial institutions, thereby streamlining monetary transactions and enhancing operational efficiency.

Abstract –

The money counting machine (MCM) is one of the miracles of the science. Different techniques have been used to design and improve the counter machine, range from the simple counter that counts a number of notes with normal speed to high-level counter that utilized image processing to detect the type of currency and its amount in addition to used multiple fake detections and can run in very fast speed. These techniques and devices are highly expensive so just used in some area like banks, exchange office, markets merchant, etc. However, nowadays there is an improvement in design microcontroller unit (MCU) and its application along with it become in low cost, so there is a need to design counter machine based on utilized MCU and sensors. This work aimed to design a low-cost counter machine with fake detection that utilized MCU based ARM Cortex-M4 32 bit. The Teensy MCU version (3.2) as prototype card has been used which has ARM Cortex 32 processor. The mechanical parts that consist of the roller which has rods in a continuous pattern and the roller move these rods with a particular fixed speed. Laser transmitters and receivers have been used to detect notes and start and stop counting in addition to counting each note. The UV sensor has been used as fake notes detector. The counting result has been shown in LCD screen and the system will stop counting if detect any fake note. The results appear a relatively high-speed counting with high accuracy (100%) in counting and fake detection.

I.  INTRODUCTION

 A money counting machine is a machine that that counts cash either piles of banknotes or loose collections of notes. Note-checking machine not only counts, they also function as a high-speed counterfeit banknote detector, that helps to detect counterfeited money in the face of the advanced Forgery techniques by printing, copying, and electronic scanning technologies [1].The first ever recorded money counting machine was invented in 1958 in China, made by a small-time banker Zhi Tian Sie, who participated it in a challenge. He won third place. Zhi died at the age of 30 years old and his model was lost until recently rediscovered when tearing down his home [1]. Various set of counting machines such as Basic Note Counter, Intelligent Counting cum Counterfeit detection Machines, and Hi-Speed Heavy Duty Cash counting machine are available to suit different type of customers. Highly dependable and ideal for Banks, Big & small business houses, Traders, retailers, jewelers and almost all types of business establishment can use them according to their suitability [2]. With the development of sophisticated printing methods fake currencies have become on par with the original currency.  The need to validate currency authenticity has increased dramatically, increasing the demand for continuous improvement of counterfeit detection technologies. One of the earliest processes was to use Ultraviolet (UV) detection. It is based on the principle of detection of special kinds of inks that are only visible under Ultraviolet (UV) light. Since this method is low, the auto motion is introduced using NI-IMAQ. The polarization is depending on the principle that,

the currency is not made of paper, but is a blend of cotton, paper, and linen. Moreover, the tree bark from which the currency is made is known as the Balsam figure which also contains a huge percentage of cellulose. Cotton is the purest form of  cellulose. Thus, it is safe to say that Cellulose contains a considerable component of the currency. Although the other ingredients will have some cause on the polarization angle, the polarization angle of the currency is almost close to that of cellulose, and the angle obtained by passing laser through the currency is unique thus it is made use of validation of the original currency from the forged ones [3].

II.  RELATED WORKS

 Anju et al. (2016) [4] proposed counting machine uses the embedded system Arduino for the functioning of the machine, it utilizes a sensing technology to sense the count entered and sends the corresponding signals to the input stations of  the IC in the Arduino board. The usage of Arduino board makes the machine more precise in functioning. The Arduino board on receiving the signals sends signals to input pins of a display which shows the number of the papers counted. The usage of Arduino makes the interfacing of the display and programming of the proposed project more favourable. The desirable count of papers can be counted out from a bundle by inputting the number. The automatic paper counting machine finds a plentiful application in many fields and proposed as a remedial measure for the problem raised in the exam cell of the college (on counting papers like a question and answer sheets) which was displayed as a publication within the campus onvarious notice boards welcoming remedial measures. Shaikh et al. (2016) [3], describes an efficient automatic framework for detecting fake money notes. Also, it symbolizes a classification framework for linking original notes to their source printing presses. Experimental results the detection and classification frameworks have a number of accuracies.

III.  BACKGROUND THEORY

  • Money Counting Theory

Money counting machine works on the precept of the breadth of the money pack. A cylinder which has rods in a continuous way and the cylinder move these rods with a specific speed. The speed stays stable as like in the ATM machine Counting machine has cylinder move on the pack of the money and there is a transducer to shift out the single money one by one at a stable speed which finds out that how much singular money has passed out in front of it [2].

  • counterfeited money Detection Theory Varied-Density Watermarks, Ultraviolet Fluorescence, Intaglio Printing, Micro text, Holograms and Kin grams and Isocheck /Isogram,

Fibre -Based Certificates of Authenticity

IV.   PROPOSED SYSTEM SETTING

 The counter has been designed to count notes in addition to detect fake notes. The whole system is controlled by the microcontroller (type Teensy) which is based ARM processor. The currency counting machine works on the principle on the pack of the bundle of money and there is a roller which has penises in a continual pattern and the roller moves these rods with a particular speed and these rollers moves on the bunch of money and just move out the single money one by one at a steady and high speed and there is a transducer which detects that how many single currencies has passed out in front of it.  For fake detection, it is based on used UV detection. This based on that the fake currency that created by color copier or printer will produce an image that rests on the surface of paper which can easily be seen when UV light is placed over it. Real notes are printed on the optical fiber. In addition, the paper of fake ones is made from thicker paper than the real one. Figure 1 illustrated the proposed counter structure.

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