• Rupali Suraskar
• Nilesh Suraskar
• Pradnya Gajbhiye

Coins are used in day to day life at various places like in banks, supermarkets, and automated weighing machines. So, there is a basic need to automate the counting and sorting of coins. For this machines need to recognize the coins very fast and accurately, as further transaction processing depends on this recognition. Banks uses bill counting machine to enumerate the money. Sometimes it is difficult to distinguish them by using human eyes, especially for large amount of coins. Most of the conventional identification methods used in slot machines, work by testing physical properties of coins such as size, weight and materials. However, if physical similarities exist between coins of different currencies, then the traditional coin testers would fail to distinguish the different coins. The intent of the paper is to identify and match the Indian coins, finally count the number of one rupee, two rupee, five rupee, and ten rupee coins that are used. There are various techniques to match the coins. In this paper edge detection technique is used. The main purpose of this design is to apply computer vision techniques to develop a program which should recognize coins in an image, and enumerate their value. That is to have a computer read the image and calculated the total value of the coins which are on the image.

Actuators, Edge detection, coins, sensors, load cell, Arduino, MATLAB.

"Design of Coin Sorting and Counting Machine", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 5, page no.61-64, May-2018, Available :http://www.jetir.org/papers/JETIR18IC014.pdf

"Design of Coin Sorting and Counting Machine", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 5, page no. pp61-64, May-2018, Available at : http://www.jetir.org/papers/JETIR18IC014.pdf