Development of Egg Classifier Using Pixy Camera and Load Cell

Abstract

This exploration project is a confirmatory analysis on many studies about classification of eggs to set the standard of classifying the eggs in the market. The study used Arduino Uno R2 kit with two devices namely a load cell (HX711) kit and the Pixy Camera to have variation in getting the data. The main goal of the study is to introduce new way of processing egg classifier. Specifically, to develop a project that classifies the three categories of the eggs, identify the different sizes and weight of the eggs and display the real-time number of classified eggs in a tabular and graphical representation in both desktop and Web application. The prototype was successfully designed with small changes from the materials and other positioning of devices because of the adjustment with the characteristics of the devices that are sensitive in nature. The major contribution of the study is the new way of processing that displays the sorted information based on the logic activity on classifying the eggs. A sophisticated desktop application used for collecting data and a functional website were the highlight of this study.