Paper Title
Detection Of Food Contamination By Machine Vision

Abstract- With increased expectation of high quality and safety in food products, this paper presents a novel method of detecting contamination in bakery food products by image processing and machine vision technology. Machine vision includes the capturing of images, processing and analysing images and hence the assessment of visual quality characteristics in food product by non-destructive method is made feasible. A Thermal Imager (TI) is used to capture the image of the food product. This project not only aims to detect contamination but also to estimate the shelf life of food products. This will reduce the wastage of the food product during storage time and also prevents food borne illness.