FPGA based image processing unit usage in coin detection and counting

Dhanabal, R.; Sahoo, Sarat Kumar; Bharathi, V. Subbiah; Dowluri, Kalyan; Varma, Bh.S.R. Phanindra; Sasiraju, V.

doi:10.1109/iccpct.2015.7159440

Cited by 7 publications

(4 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…al. [10] In this journal, the coin exit is installed with photoelectric counting device, which counts the coins of each denomination and integrates the total amount to be displayed on the display screen through the operation of single chip microcomputer. The coins of the same denomination will be placed in the same receiving box to be sorted.…”

Section: Literure Reviewmentioning

confidence: 99%

Coin Sorting and Counting Machine

Kumar¹

2023

IJSREM

View full text Add to dashboard Cite

The design was entitled Automatic Coin Sorting Machine for it is to sort the Indian coin denomination. This was done to be able to help different Institutions that deal with large number of coins in their daily operation. Some of these are banks, churches, charitable institutions and the transport sector. The sorting part of the design is basically mechanical as it sorts the coin through their physical size then counts them as they pass through the Arduino. An automatic coin counting and sorting machine prototype is developed by using ARDUINO-UNO as the main controller. This work included design the display panel to show total quantity of each coin and total amount. The coin acceptor has been used as it acts as coin selector to determine the denomination of coins in sorting system is designed by using DC motor to hold and distributes coin to the corresponding slot. Key Words: Denomination, coin slot, rotating plate, microcontroller

show abstract

Section: Literure Reviewmentioning

confidence: 99%

Coin Sorting and Counting Machine

Kumar¹

2023

IJSREM

View full text Add to dashboard Cite

show abstract

“…White point detection problems on 3D films are not common in the field of pattern recognition. The most common problems stated in [3][4][5] include coin detections and counting, detection of white cancer spots on the skin, detection of multiple bright spots in an image, white dots on black background, etc. These problems can practically be solved by using edge detection methods, thresholding techniques, color texture methods among others.…”

Section: Introductionmentioning

confidence: 99%

A Fast Fourier Transform with Brute Force Algorithm for Detection and Localization of White Points on 3D Film Pattern Images

Mlyahilu

Kim

2022

jist

View full text Add to dashboard Cite

The procedures of white points detection and localization are practically complex on noisy images. In this paper, we propose an algorithm that detects and localizes white points on 3D film images. The proposed algorithm uses the fast Fourier transform to convert the binarized image into real and imaginary parts to obtain the number of white points along the horizontal and vertical. We determine the sorted coordinates of the white points by adding a brute-force solution to the coordinates obtained from the real part of the image. These sorted coordinates are obtained by subtracting the error between the Euclidean distances of the normalized coordinates along the vertical and horizontal direction. The proposed algorithm with and without brute-force achieved an average detection ratio of 0.98 and 0.88 respectively, while the others underperformed. We perform various experiments using the existing algorithms such as template matching, thresholding, and an iterative method to validate the performance of our algorithm. We also compare the rule-based algorithms that detect and localize objects in noisy images with the proposed one to determine the reliability of our algorithm. The experimental results indicate that the proposed algorithm performs better than the template matching, thresholding, and iterative algorithm.

show abstract

“…[4,5]. There are also many papers in the literature dealing with currency recognition using machine vision [6,7,8,9], but they all need the coins or banknotes to be distinctly placed on a surface suitable for the camera to detect them. Some of these recognition systems can operate properly if the coins/banknotes are moving on a conveyor, but that is not what happens in stores and supermarkets.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Automatic Calculation of Euro Coins and Banknotes in a Cash Drawer

Cereijido

Nuño

Pernía

et al. 2019

Sensors

View full text Add to dashboard Cite

A very interesting and useful complement to classical cash-registers is presented in this paper, coming up with a real-time auto-counting solution for the money inside a cash drawer. The system allows knowing not only the total amount of money but also how many coins and banknotes there are of each value. The embedded solution developed has been intended to become a low-cost solution, allowing better control over the money and helping both owners and workers in the establishments. By using this system, new utilities including automatic final balancing, instant error handling when making operations, and the lack of certain types of banknotes or coins inside the drawer or the excess of some in a certain compartment, could be implemented. Coins-counting solution is based on their weight, and small individual scales made by load cells have been integrated in each coin compartment. With respect to the banknotes, an innovative alternative based on the electrical properties of capacitors is presented. Additionally, considering the relevance of interoperability in today’s systems, a Bluetooth module has been integrated into the system, allowing for data to be accessed remotely from any smartphone, tablet or computer within the range of the module. In this work, an Android application to both control and interact with the system has also been designed.

show abstract

FPGA based image processing unit usage in coin detection and counting

Cited by 7 publications

References 10 publications

Coin Sorting and Counting Machine

Coin Sorting and Counting Machine

A Fast Fourier Transform with Brute Force Algorithm for Detection and Localization of White Points on 3D Film Pattern Images

Real-Time Automatic Calculation of Euro Coins and Banknotes in a Cash Drawer

Contact Info

Product

Resources

About