Automatic Weight Classifying Machine of Objects with Load Cell

Abstract

This research paper presents the experimental results of classifying weight of objects by using a load cell. The machine was designed to classification of all three different objects' weight and the objects consisted of light weight, medium weight and heavy weight to move along the conveyor belt into the defined tray. Load cell was used for the object detection by reading the amount of the objects' weight, after that converted into an electrical signal for each different weight and then micro-controller process to control the stepper motor by closing or opening the door. The tray was designed to into 3 slots for the objects on condition that the operation of two stepper motors. If the one is rotated clockwise 130 degrees to open the door for a heavy weight to flow into slot on the left, if the other one is rotated clockwise 98 degrees to open the door for a medium weight to flow into slot on the center and if both ones are stopped a light weight to flow into slot on the right. From the result, it can be shown that the average classifying time of the testing objects is 15.30, 14.68 and 14.34 seconds for heavy weight, medium weight and light weight respectively and the classification of objects with high accuracy.