Rice sorter

Abstract

In twenty-first century, life has become too fast and common men hardly find any time to resolve their domestic problems which are small but necessary for the smooth running of their family. One of such problem is rice sorting. Rice purchased from the market usually is not one hundred percent rice; some impurities are always there. So in turn, men have to take them to the market again to get them sorted. He might have to wait in queues for a while or might sometimes submit and come back again after a day or two. The project "RICE SORTER" is a prototype to an image-processing based, economical and time efficient solution to the problem of rice sorting for domestic purposes. A machine which is easy to maintain, flexible in scalability, and most importantly, it fits into the kitchen. The working principle is simple; a thin stream of rice is falling in front of a fixed camera. This camera is embedded to a digital system which applies Machine-Learning (ML) algorithms on the video feed, identifies the impurities and then sends signal to the pneumatic valve which will in turn, blow away the impurity from the stream but let the rice pass. The ideal goal is to obtain pure rice after single or multiple cycle(s) of sorting.