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Image recognition based billing system for fruit shop using raspberry PI
Author(s) -
A. Vennila,
S. Balambigai,
G. Deepa,
M Ilakkia,
P Harshikaa Devi,
V Naagavignesh
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1055/1/012030
Subject(s) - raspberry pi , support vector machine , identification (biology) , computer science , classifier (uml) , artificial intelligence , image processing , pattern recognition (psychology) , internet of things , embedded system , image (mathematics) , botany , biology
This work describes a system that automatically does the billing of fruits in the retail market. Smart billing system is used for identifying and classifying the fruit types and to calculate the bill amount based on the type and quantity of fruits purchased by the consumer. Fruit identification is done using image processing technique and for weight measurement a load cell is used in the smart system. In this system an SVM classifier is used for fruit recognition. This smart billing system analyzes and classifies fruits successfully and bill calculation is performed accurately.

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