A non-contact measuring device for determining poultry eggs weight

Abstract

In this article a possibility of application of the non-contact method for prediction the poultry eggs weight in storage period of 21 days was researched. A prediction assessment was made by shape features, capacitance, resistance and conductance of eggs. Feature vectors were selected and reduced data by principal component and partial least squares regression methods were used. A non-contact device was proposed and developed to determine the egg weight by video sensor and measurement cell. In order to obtain data for post-processing, a software application was designed. The developed algorithms and procedures were applied to determine the eggs weight, whereby that parameter of eggs could be predicted with the lowest relative error. The survey results show that the eggs weight could be predicted by the proposed system for contactless measurement with accuracy of 94-98%.

Keywords

• video sensor
• measurement cell
• shape features
• dielectric features
• egg weight