现代畜牧科技Issue(6)：133-135,3.DOI:10.19369/j.cnki.2095-9737.2025.06.038
规模化猪场工作服视觉识别算法的建立
Establishment of the Visual Recognition Algorithm for Work Clothes in Large-scale Pig Farms
摘要
Abstract
In the management and operation of large-scale pig farms,the identification of personnel work clothes is of great significance for biosafety prevention and control and automated management.This article innovatively proposes a visual recognition algorithm for work clothes in large-scale pig farms,aiming to achieve efficient and accurate identification of staffwork clothes by using advanced computer vision technology.By using high-definition cameras to widely collect images of personnel in the pig farm environment,rich image data is obtained.And professional image processing techniques are used to accurately extract key features such as the color,texture,and shape of work clothes images.These feature data are input into a carefully constructed artificial intelligence learning and classification model.Through learning and training with a large number of samples,it can accurately distinguish work clothes types of different positions and regions,and conduct intelligent evaluation on whether the wearing of work clothes complies with the specified standards.The successful application of this algorithm can not only significantly improve the automated management level of pig farms,reduce labor supervision costs and errors,but also further strengthen biosafety prevention and control capabilities,reduce the risk of foreign pathogen introduction,and effectively ensure the safe production and sustainable development of large-scale pig farms.关键词
规模化猪场/工作服/视觉识别算法Key words
large-scale pig farms/work clothes/visual recognition algorithms分类
农业科技引用本文复制引用
刘战启,余洋,刘淑梅..规模化猪场工作服视觉识别算法的建立[J].现代畜牧科技,2025,(6):133-135,3.基金项目
人工智能与自动化方式建立非洲猪瘟防控体系研究与应用示范(2022AA004) （2022AA004）
