Automated Inspection and Grading of Vegetables Using Multisorting System Based on Embedded Platform

Archana Kumari, Vivek Chawla

Abstract: Food is essential for nourishment and sustenance of life. The food sorting system gives us various information like color, shape, size, defect etc. There are two way for inspecting food products, first is the external food inspection while other is the internal food inspection. External inspection is done through image processing while internal measurement is done by sensors which can calculate moisture content, sugar content etc. In this paper embedded system is designed for multisorting and it is implemented through Matlab. It is a user dependent system, where user has to decide what type of sorting is required whether it-s on basis of color, size or quality. Manual method is slow, costly and also lacks reliability and objectivity required in competitive food industries. The system consist of one web camera, personal computer, two servomotors, one PCB, microcontroller working on Arduino platform, one LCD for displaying on which mode are you working and other mechanical part. The samples of different vegetables are situated in front of camera and are calibrated off line. All the information are extracted and saved in database.

Keywords: Machine vision, Image processing, multisorting, embedded, vegetable