System Development for Aflatoxin Inspection in Cereal Using Ultraviolet Light

Abstract

This paper presents system development for aflatoxin inspection in cereal using ultraviolet light. The proposed system consists of conveyer belt, ultraviolet lamp, webcam, electronic circuits, interface card, and computer. The image processing is employed to detect aflatoxin contamination. K-means clustering and thresholding techniques are used for inspection of aflatoxin contamination in cereal. Two set of corn kernels samples were used to verify the proposed system. The experimental results show that the proposed system can detect aflatoxin affectively and suitable for raw material screening in food production.