FRUIT DEFECT DETECTION USING OPENCV FOR QUALITY DETECTION

Author (s) : Dr.V.Vijayakumar, N.Karthigavani, Dr.C.Viji, Dr.S.Jayanthi

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Abstract :
In this project, we propose a framework for quality detectionusing fruit defect methods.Computer vision and image processing techniques have been found increasingly useful in the fruit industry, especially for applications in quality detection. Research in this area indicates the feasibility of using computer vision systems to improve product quality. It is difficult in industry to classify the quality of fruits using traditional method so the image processing technique was introduced to classify the fruits. This project presents the Computer Vision based technology for fruit quality detection. Computer vision systems provide rapid, economic, hygienic, consistent and objective assessment. One of the important quality features of fruits is its appearance. Appearance not only influences their market value, the preferences and the choice of the consumer, but also their internal quality to a certain extent. Different types of fruits and vegetables are produced in India. India is at second number after china in production fruit. It is difficult in industry to classify the quality of fruits using traditional method so the image processing technique was introduced to classify the fruits. Indian economy based on agriculture, so automation of agriculture and agriculture related industry plays important role. The targeted beneficiaries from this project include farmers, Indian in particular, who can’t afford cost of today’s fruit processing facilities.

Keywords : Computer Vision, Image processing, Automation, Computer vision.

Conference Date : 17/09/2021

Pages : 153

Paper ID : IESMDT151