Research on Key Techniques of Animal Individual Recognition Based on Machine Vision - Taking Cow Face Recognition as an Example

With the progress of society and the development of science and technology, especially the rapid development of information technology and computer science, artificial intelligence (AI) and computer vision technology have increasingly become the focus of research. In animal husbandry, bovine face recognition technology is an important management tool, and its application can greatly improve production efficiency and management level. The machine vision technology is one of the important means to realize the recognition of cow face. Image acquisition and preprocessing is the primary link of machine vision in bovine face recognition, which needs to obtain high quality digital images of bovine face through image acquisition equipment, such as camera or scanner. Improving the accuracy of bovine face recognition is the core goal of this study. [1] At present, due to the complexity of cow face features, the change of ambient light, occlusion and other factors, the accuracy of cow face recognition still has some challenges. By further studying and optimizing the application method of machine vision technology in bovine face recognition, the features of bovine face can be extracted more accurately, the recognition accuracy can be improved, and the misrecognition rate can be reduced. The analysis and application of recognition results is an important part of machine vision in bovine face recognition. Through the statistical analysis of the recognition results, we can understand the recognition accuracy, error and other performance indicators, and provide a basis for the improvement and optimization of the algorithm. With the continuous development of artificial intelligence, big data and other technologies, intelligence has become the development trend of all walks of life. Animal husbandry as one of the traditional industries, its intelligent development is relatively slow. By studying the key technology of bovine face recognition based on machine vision, it can provide strong technical support and promotion for the intelligent development of animal husbandry, and enhance the competitiveness and sustainable development ability of animal husbandry.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/ceeml65709.2024.00025
Primary Topic
Remote Sensing and Land Use
Type
article
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article

Research on Key Techniques of Animal Individual Recognition Based on Machine Vision - Taking Cow Face Recognition as an Example

Yixian Qian, Wanyu Wu, Lin Li, Yue Zhong et al.
Remote Sensing and Land Use
article

Research on Key Techniques of Animal Individual Recognition Based on Machine Vision - Taking Cow Face Recognition as an Example

Yixian Qian, Wanyu Wu, Lin Li, Yue Zhong, Yunli Cheng
article en

Abstract

With the progress of society and the development of science and technology, especially the rapid development of information technology and computer science, artificial intelligence (AI) and computer vision technology have increasingly become the focus of research. In animal husbandry, bovine face recognition technology is an important management tool, and its application can greatly improve production efficiency and management level. The machine vision technology is one of the important means to realize the recognition of cow face. Image acquisition and preprocessing is the primary link of machine vision in bovine face recognition, which needs to obtain high quality digital images of bovine face through image acquisition equipment, such as camera or scanner. Improving the accuracy of bovine face recognition is the core goal of this study. [1] At present, due to the complexity of cow face features, the change of ambient light, occlusion and other factors, the accuracy of cow face recognition still has some challenges. By further studying and optimizing the application method of machine vision technology in bovine face recognition, the features of bovine face can be extracted more accurately, the recognition accuracy can be improved, and the misrecognition rate can be reduced. The analysis and application of recognition results is an important part of machine vision in bovine face recognition. Through the statistical analysis of the recognition results, we can understand the recognition accuracy, error and other performance indicators, and provide a basis for the improvement and optimization of the algorithm. With the continuous development of artificial intelligence, big data and other technologies, intelligence has become the development trend of all walks of life. Animal husbandry as one of the traditional industries, its intelligent development is relatively slow. By studying the key technology of bovine face recognition based on machine vision, it can provide strong technical support and promotion for the intelligent development of animal husbandry, and enhance the competitiveness and sustainable development ability of animal husbandry.

Guangdong Polytechnic of Science and Technology (CN), Guangdong Polytechnic Normal University (CN)
Openalex Percentile: Top 70%
Remote Sensing and Land Use
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