Ali safikhani - Msc student Department of Electrical Engineering, K.N. Toosi University of Technology Tehran, Iran
Rahim Ildarabadi - Assistant Professor Department of Electrical Engineering, Hakim Sabzevari University Sabzevar ,Iran

With the rapid growth of science in recent decades and the transformation of science into technology, the mechanization of industrial machines and the provision of intelligent cameras are very much considered, which can play a huge role in the speed and accuracy of the work. One of the nutrients Most of the food in human nutrition and as an essential ingredient in many other dairy foods. There are several ways to diagnose the health of the milk. In this paper, a mechanized and rapid method for identifying healthy milk and rotten milk is presented. First, a microscope equipped with a camera was taken from various samples of raw milk and then, by processing the microscopic images obtained from milk samples with very simple techniques in MATLAB, the differences in the photos were converted to comparable parameters, which were analyzed with much It s easy to detect healthily or rotten milk.

Healthy milk, rotten milk, image processing, microscopic photos