期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2020
卷号：2
期号：4
页码：120-124
DOI：10.35629/5252-0204100103
语种：English
出版社：IJAEM JOURNAL
摘要：In the modern-day world, automation playsa vitalrole in various aspects such as industrial work process, object detection and exploration of complex algorithms. This is extremely useful for enhancing the efficiency of achieving a particulartask,atthesametimeminimizinghumanpower consumption.In this work,a currency note detectormodel has been developed which can performfake currency note detectioninaworking environmentusingconcepts ofmachine learning.The Raspberry Pimodeldetectsvariousfeatures present on currency notes and identifies the type of extracted features using a Feature-based Registration algorithm by training the test samples. It then detects the genuine and fake currency notes with a certain distance and various calculations. The modeltakes information from the environment through a pi camera such as various currency notes and with the help of various image processing techniques provides the appropriate output.
