基于改进MobileNetV2的牛只面部识别方法研究

打开文本图片集

中图分类号：TP391.4 文献标识码：A 文章编号：2096-4706（2025）11-0020-05

Research on Cattle Facial Recognition Method Based on Improved MobileNetV2

TIANHuijuan, CAO Mengqi,RU Chunrui,REN Zhaohui (YanglingVocational and TechnicalCollege,Xianyang712199,China)

Abstract:In viewofthe problems thatcattle are easily frightenedand consume manpower and material resources in the processoftraditioalcatleindividualidentifcatio,tispaperproposesanon-contactcatleindividualidentifcationmethodby meansofcomputervisiontechnology.Firstly,thecalefacephotosaretakenintherealcatlefrmevironment,andtheattle facerecognitiondatasetisconstructed.econdlycombinedwiththeactualnetworkconditionsandcomputingpowerlevelofthe catlefarm,thelightweightNuralNetworkmodelMobileNetV2isselectedastebasicnetworkmodel.Finaly,theCoordinate AttentionMechanismisintroducedtoimprovetheMobileNetV2model,soastoimprovetheaccuracyofthemodelandehance its featureextractionabilityforkeypositions.The experimentalresults show thatthe improved MobileNetV2 modelperforms well in the cattle face recognition task. The model size is only 2.86MB ,and the recognition accuracy is as high as 95.81% , which can fully meet the needs ofnon-contact cattle individual recognition in the actual cattle farm environment.

Keywords:MobileNetV2;Attention Mechanism; cattle identificatio1

0 引言

近年来，我国牛养殖产业发展势头迅猛，市场需求的增长促使养殖规模不断扩大。（剩余9433字）