牛牛游戏厅安卓,{原始关键词}

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                        • 当前位置: 代写一篇论文多少钱 > 计算机论文 > 机器视觉工业应用研究现状探析

                          机器视觉工业应用研究现状探析

                          时间:2020-05-06 10:02作者:樊东 陈津徽 张元良
                          本文导读:这是一篇关于机器视觉工业应用研究现状探析的文章,随着人工智能的快速发展,自动化生产水平大幅提高,各生产领域中,一贯的人工作业已满足不了生产需求,因此急需一种技术将其取代。

                            摘    要: 人工智能背景下,机器视觉技术快速发展。本文首先对机器视觉技术的系统组成做了简单介绍,然后对其在工业上部分应用的研究现状做了总结,最后阐述了机器视觉技术的发展前景及发展方向。

                            关键词: 机器视觉技术; 工业; 研究现状;

                            1、 绪论

                          牛牛游戏厅安卓,{原始关键词}   SUIZHERENGONGZHINENGDEKUAISUFAZHAN,ZIDONGHUASHENGCHANSHUIPINGDAFUTIGAO,GESHENGCHANLINGYUZHONG,YIGUANDERENGONGZUOYEYIMANZUBULESHENGCHANXUQIU,YINCIJIXUYIZHONGJISHUJIANGQIQUDAI。JIQISHIJUEJISHUSHITONGGUOJISUANJILAIMONIRENDESHIJUEGONGNENG[1],SHIYIMENBIJIAOFUZA,DUOXUEKEJIAOCHADEJISHU。JINGGUOJIN70NIANDEFAZHAN,JIQISHIJUEJISHUYIBEIGUANGFANYINGYONGDAONONGYE、GONGYEDENGLINGYU,TIGAOLESHENGCHANDELINGHUOXINGJIZIDONGHUACHENGDU,MANZUDANGQIANDAPILIANGZHONGFUXINGSHENGCHANDEYAOQIU。

                            2 、机器视觉概述

                          牛牛游戏厅安卓,{原始关键词}   GONGYESHENGCHANXIANSHANG,JIQISHIJUEXITONGZHUYAOBAOKUOTUXIANGCAIJIXITONG、TUXIANGCHULIXITONG、KONGZHIJUECEXITONG[2]。

                            图像采集系统中,光源及光照方式的选择、相机及镜头的选型会影响到采集图像的质量。对于光源,常用的有LED灯、荧光灯、卤素灯等,其中LED灯凭借功耗低等诸多优点,被人们广泛采用。照明方式有多种,研究人员可根据研究对象特点及自身需求选择最合理的方案。相机方面,按芯片类型可分为CCD相机、CMOS相机,两个各有优点,可根据实际需要选择。曝光时间、相机帧率、相机接口等参数也都是需要考虑的因素。镜头的选型中,最重要的参数是焦距。镜头的分辨率、景深、畸变等参数也对成像有一定的影响。而且,所选镜头应与相机有高程度的配合[3]。
                           

                          机器视觉工业应用研究现状探析
                           

                            TUXIANGCHULIXITONGZHONG,ZUIXUYAOGUANZHUDEJIUSHISUANFA,BAOKUOTUXIANGZENGQIANG、BIANYUANRUIHUA、TEZHENGTIQU、TUXIANGSHIBIEYULIJIEDENG[4]。SHIYONGQIADANGDESUANFA,KEYIDEDAOJIAOHAODEXIAOGUO,WEIHOUXUGONGZUODEFANGBIANJINXINGDIANDINGLEJICHU。

                          牛牛游戏厅安卓,{原始关键词}   KONGZHIJUECEXITONGZHONG,BAOHANLEGELEIJIXIEZHUANGZHI,QIKONGZHIXITONGGENJUTUXIANGCHULIHOUDEJIEGUO,ANZHAOYANJIUYAOQIUBIAOZHUN,DUIBUHEGEDEGONGJIANJINXINGTICHU。

                            3 、机器视觉工业应用研究现状

                            3.1、 尺寸测量与缺陷检测

                          牛牛游戏厅安卓,{原始关键词}   GONGYELINGYUZHONGSUOSHENGCHANDEGONGJIANJIHUDOUXUYAOJIANCE,QIZHONGZHUYAOBAOKUOCHANPINDECHICUNCELIANGHEQUEXIANJIANCE。CHICUNCELIANGZHONG,WULUNSHIWEIXIAOLINGJIANDEJINGMICELIANG,HAISHIZHOULEILINGJIAN、LUOWENJIHECANSHU、BOPIANLINGJIANDENG,DOUDADAOLEHENGAODEJINGDU。WUJIGANG[5]DUIBOPIANLINGJIANCHICUNCELIANGJINXINGYANJIU,TICHUYIZHONGLUNKUOSHILIANGHUADECELIANGFANGFA,ZUIZHONGJIANCEJINGDUDADAO1um,LIYARU[6]ZAI1.2m×2.6mDECELIANGQUYUNEI,DUIBANCAIJINXINGCELIANG,JINGDUDADAOLE1mm/m。QUEXIANJIANCEZHONG,YISONGSONG[7]SHIXIANLEDUIJIZHONGLEDPINGMUDEJIANCE,MAIGUOMING[8]SHIXIANLEGUANGHUAZHUSUCHANPINDEQUEXIANFENGE,QITAZHURUBOLI、BOMODENGDEQUEXIAN,YEDOUXIANGYINGDEDAOLEJIANCEQIEXIAOLVJIAOGAO。

                            3.2、 机器人视觉定位应用

                          牛牛游戏厅安卓,{原始关键词}   GONGYELINGYUZHONG,SHIJUEDINGWEIKESHIXIANMUBIAOCHANPINDEZIDONGHUA,LIRU,BANYUN、DINGWEI、HANJIEDENG。SHIMIANSHANGMatlab、Open Cv、Lab View、HalconDENGCHENGSHUDERUANJIANDOUKEYONGYUSHIJUEDINGWEI。SHIJUEDINGWEIFANGFAYOUHENDUO,ANCHUANGANQIDESHULIANGDUOSHAOKEFENWEIDANMUSHIJUEDINGWEI、SHUANGMUSHIJUEDINGWEIYIJIQUANFANGWEISHIJUEDINGWEI[9]。DANGQIAN,XUEZHEMENYANJIUJIAODUODEHAISHIDANMUSHIJUEDINGWEISUANFA,YANGPING[10]JIEHESHIJICHANGJINGDUIWURENCANGZHONGDEKUAIDIZHUAQUJIQIRENJINXINGLEYANJIU,SHIYANJIEGUOXIANSHI,DUIKUAIDIDEWEIZHIGUJISHANG,WEIZHIWUCHA、GAODUJULIWUCHA、JIAODUPINGJUNWUCHADOUZAIYIGEHENDIDEFANWEINEI。LIANGLIANG[11]JINXINGLEFANGRENJIQIRENSHINEIZIZHUDINGWEIDEYANJIU,SHEJILEYIZHONGJIYUDANMUSHIJUEDEDUOXINXIRONGHEDEDINGWEISUANFA,JIAOQITAFANGFAJIANGDILEWUCHA。

                            3.3 、汽车制造质量检测

                            WOGUODESHENGCHANZHIZAOYEZHENGCHAOZHEZIDONGHUAFANGXIANGFAZHAN,TEBIEBIAOXIANZAIQICHEZHIZAOYEZHONG。ZAIQICHEYIBIAOBANJIANCESHANG,JIYUJIQISHIJUEDEYIBIAOBANZONGCHENGZHINENGJICHENGCESHIXITONG[12]KEDUI5GEYIBIAODEZHIZHENWUCHA,24GEXINHAOBAOJINGDENGDENGJINXINGJIANCHA。LINGWAI,DUIYUTONGBUHUANZHUANGPEIZHILIANGDEJIANCE,KEYISHIZHUANGCUO、LOUZHUANGDENGQINGKUANGDUJUE。QICHECHESHENJIANCEZHONG,ZUIWEIZHEMINGDESHIYINGGUODEROVERQICHEGONGSI800XITONGQICHECHESHENLUNKUOCHICUNJINGDUDE100%JIANCE,GAIXITONGJIANCESUDUKUAI,JINGDUGAO,DADAO±0.01mm。ZUIHOUSHIDUICHADONGCHILUNDEJIANCE,FUKESIGONGSIYISIMATIC710WEIJICHUKAIFALEQIJIANCEFANGSHI,GAIJIANCEFANGSHIJIELIANYUNYONGLIANGZHONGBUTONGDEFANGFA,KEYIBAOZHENGHENGAODEJINGDU。

                            4、 结语

                            DANGQIAN,GUONEIWAIXUEZHEJIADALEDUIJIQISHIJUEJISHUDEYANJIULIDU,ZHENGFUBUMENYEYOUDUIZIDONGHUASHENGCHANXIANGGUANZHENGCEDEFUCHI,JIQISHIJUEJISHUJIANGRUYUHOUCHUNSUNBANXUNSUFAZHAN。RENGONGZHINENGDABEIJINGXIA,SHENDUXUEXI、JIQIXUEXIDENGYEWEIJIQISHIJUEJISHUZHIMINGLEFANGXIANG,JIANGTAMENXIANGHUJIEHE,KEYITISHENGGONGYEZIDONGHUASHENGCHANSHUIPING,JINYIBUJIEFANGRENLEIDESHUANGSHOU。FAZHANDAOLUSHANG,SUOMIANDUIZHUYAOWENTIZHUYAOSHISUANFADEGENGXIN,GUONEIWAIXUEZHEYIJINGTICHULEDUOZHONGSUANFA,DANSHIDABUFENDOUHAICHUYUSHIYANJIEDUAN,XIANGXINJINGGUOFANFUDECHUILIAN,DINGNENGZAIJIQISHIJUEJISHUZHONGDAFANGYICAI。

                            参考文献

                            [1] 韩茜茜,耿世勇,路向阳.基于机器视觉的尺寸测量应用综述[J].河南科技,2019(5):8-10.
                            [2] 冯锴.基于机器视觉的金属手机外壳尺寸测量与表面典型缺陷检测研究[D].
                            [3] 刘杰.基于机器视觉的手机二维尺寸测量技术研究[D].
                            [4] 章炜.机器视觉技术发展及其工业应用[J].红外,2006(02):13-19.
                            [5] 伍济钢,宾鸿赞.机器视觉的薄片零件尺寸检测系统[J].光学精密工程,2007,15(1).
                            [6] 李亚茹.基于机器视觉的大尺寸板材测量方法研究[D].
                            [7] 易松松.基于机器视觉的手机面板缺陷检测方法研究[D].
                            [8] 麦国铭.表面光洁的注塑制品外观缺陷视觉检测方法研究[D].
                            [9] 周应东.工件视觉定位和识别的关键算法研究[D].
                            [10] 杨平.供件机器人单目视觉抓取技术应用研究[D].
                            [11] 梁亮.仿人机器人室内自主定位研究[D].
                            [12] 刘武.机器视觉技术及其在汽车制造质量检测中的应用[J].汽车实用技术,2018(20):75-76.

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