Visual detection of eggs based on deep learning for egg picking robot. Issue 1 (July 2021)

• Record Type: Journal Article
• Authors: Xu, Zhihong; Fan, Mingyang; Zhang, Yapeng
• Is Part Of: Journal of physics. Volume 1976:Issue 1(2021)
• Publication Date: 2021-07
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1976/1/012013
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: The chicken farm is a typical labor-intensive production environment, and the mechanization of egg picking work is one of the development directions of the chicken industry. This article uses a camera as a sensor for visual detection. Given the limited computing resources of the robot, we improve the feature extraction part of Mask R-CNN network to reduce the memory loss of parameters and speed up the detection process. The experimental results show that compared with the classic method and the Mask R-CNN basic algorithm, the method in this paper has a higher recognition rate that can better support egg picking robots in egg recognition and pose estimation.