Grade Classification of Chicken Eggs Through Computer Vision

Grade Classification of Chicken Eggs Through Computer Vision

연구 분야: Artificial Intelligence

학회: ICCPR '21: Proceedings of the 2021 10th International Conference on Computing and Pattern Recognition

This paper explored the use of Region-Convolutional Neural Network (CNN) algorithm. Classified through extracted region proposals from the picture a mere 2000 sections fed into CNN. This study aims to automate the classification of chicken eggs according to their grade (Grade A, B, C, Inedible). It highlights the application of image processing for which image classification technique is used to identify the attributes of the subject through images and overpassing challenges through viewpoints, image deformation, and lighting conditions. With a reading of 93.3% accuracy, this paper concludes that the image processing method used in identifying classifications has been a successful development in terms of image detection and recognition by computer vision for it recognize chicken eggs classification grading's based on the images being captured. Classifications of chicken eggs through computer vision have been achieved.