国产av不卡一区二区_欧美xxxx做受欧美_成年人看的毛片_亚洲第一天堂在线观看_亚洲午夜精品久久久中文影院av_8x8ⅹ国产精品一区二区二区_久久精品国产sm调教网站演员_亚洲av综合色区无码一二三区_成人免费激情视频_国产九九九视频

Global EditionASIA 中文雙語Fran?ais
Business
Home / Business / Technology

Masked faces pose no trouble to AI algos

By Fan Feifei and Dujuan | China Daily | Updated: 2020-02-26 09:03
Share
Share - WeChat
People wear masks at Dalian International Airport in Dalian, Northeast China's Liaoning province on Jan 22, 2020. [Photo/Sipa]

Artificial intelligence-powered technologies are increasingly being used to help contain the novel coronavirus outbreak in China, with several tech companies tweaking their facial recognition algorithms to identify people who are wearing masks.

Enterprises that use facial recognition for access control and attendance system needed to make the tweaks as traditional algorithms may not be sufficient for recognition. For, masks used by the employees often cover some features of the face.

Beijing-based tech company Hanwang Technology Co Ltd has upgraded its core algorithm and introduced a new facial recognition system for those who wear masks.

Huang Lei, vice-president of the company, said Hanwang Tech took just a month to develop the upgraded version. "We have rich experience in overseas markets for more than 10 years. In certain areas such as Africa and the Middle East, we have products that can recognize facial characteristics when the skin color or big beards pose difficulties," he said.

"We can quickly upgrade the existing products to recognize faces with masks," said Huang, adding that the upgrade often helps in accurate identification.

At present, the upgraded system has been deployed in the Bird's Nest stadium, Beijing No 3 Intermediate People's Court, Beijing Fire Museum and some other companies.

According to the government regulations about epidemic prevention and control, those who do not wear mask will be refused entry and alarms will be set off to remind the related authority on duty.

Internet, big data, AI and cloud computing should be deployed to prevent and control the epidemic, including the research of gene sequencing of the virus, tracking of patients, population flow and community management, said the Ministry of Industry and Information Technology.

Facial recognition has been one of the biggest emerging technologies over the past few years, as seen by its widespread use in everyday lives.

Yitu Technology, a Shanghai-based AI startup, has developed a contactless entrance guard system by applying facial recognition technology, which could identify each visitor within 300 milliseconds, with a 99.9-percent accuracy rate.

The company said the intelligent system can screen people even when they are wearing a mask. At present, it has been put into use in the headquarters of China Taiping Life Insurance, China CITIC Bank, the Shenzhen Civil Center, Baodi Square and other places.

SenseTime, another AI company that specializes in computer vision and deep learning, has launched a fever screening system, which could scan up to 10 people per second without direct contact and remotely identify individuals who display symptoms of a fever, lowering the risk of cross-infection and enhancing the speed for fever screening in crowded public places. The system integrates sophisticated AI algorithms with infrared thermal technology, and can also identify any individual without a face mask and send notification, with a success rate of over 99 percent.

Yu Xiaohui, deputy director of the China Academy of Information and Communications Technology said AI companies have given full play to their advantages, and released various AI-empowered solutions and products in a short period of time, making contributions in areas of epidemic monitoring, diagnosis and ensuring people's livelihoods.

"Some core AI technologies such as computer vision, natural language processing, robots and speech recognition have been widely used in the prevention and control of the outbreak," Yu said, adding AI is playing a positive role in helping enterprises resume production.

Top
BACK TO THE TOP
English
Copyright 1994 - . All rights reserved. The content (including but not limited to text, photo, multimedia information, etc) published in this site belongs to China Daily Information Co (CDIC). Without written authorization from CDIC, such content shall not be republished or used in any form. Note: Browsers with 1024*768 or higher resolution are suggested for this site.
License for publishing multimedia online 0108263

Registration Number: 130349
FOLLOW US
CLOSE
 
欧美虐宫另类残忍视频| 欧美日韩中出| 麻豆免费在线| 都市激情久久综合| √天堂8在线网| 免费av网站在线看| 第三区美女视频在线| 蜜桃视频在线播放| 美州a亚洲一视本频v色道| 亚洲国产资源| 五丁香在线视频| 在线国产福利网站| 污网站免费在线观看| 亚洲日本va中文字幕久久| 在线三级av| 小小水蜜桃在线观看| 午夜在线观看91| 亚洲成人精品一区二区三区| 在线观看中文字幕| 天天影院图片亚洲| 日本天堂影院在线视频| 四虎影院在线域名免费观看| 视频一区二区三区在线看免费看| 在线观看中文字幕| 国产高清av在线| 91社区在线高清| xvideos国产在线视频| 欧美1234区| 深夜在线视频| 日韩高清在线| 99精品国产九九国产精品| 国产精品久久久久久久久久辛辛 | 欧美一区二区人人喊爽| 91精品国产综合久久香蕉麻豆| 欧美一区日本一区韩国一区| 精品久久免费看| 日韩精品免费视频| 国产亚洲成人一区| 国产精品成人**免费视频| 精品视频一二| 激情小说一区| 欧美伦理影院| 欧美一区二区三区久久精品茉莉花| 欧美日韩精品一本二本三本| 国产精品久久777777毛茸茸 | 久久久午夜电影| 国产肉丝袜一区二区| 国产精品成人一区二区艾草 | 久久精品国产**网站演员| 国产一区二区三区观看| k8久久久一区二区三区| 欧美国产精品中文字幕| 涩涩屋黄网站| 亚洲精品国产综合久久| 国产婷婷成人久久av免费高清 | 手机精品视频在线观看| 蜜桃视频一区二区三区 | 日韩在线精品一区| 欧美黄色免费网站| 日本18中文字幕| 91丨九色丨蝌蚪丨少妇在线观看| xxxxwwww在线免费观看| 992tv在线观看免费进| 精品视频三区| 精品一性一色一乱农村| av久久网站| 卡通动漫精品一区二区三区| 婷婷丁香综合| 久久亚洲不卡| 99久久精品费精品国产一区二区| 国产精品麻豆欧美日韩ww| 香蕉久久一区二区不卡无毒影院 | 欧美日韩国产在线| 欧美精品123区| 亚洲人成欧美中文字幕| 欧美福利视频网站| 欧美xxxxx18| 羞羞小视频在线观看| 欧美孕妇孕交| av电影院在线看| 久久伦理中文字幕| 久久精品国产www456c0m| 国产精品主播| 波多野结衣视频一区| 亚洲色图视频网站| 欧美日韩在线精品一区二区三区激情 | 中文字幕的av| 蜜桃av导航| 免费a在线观看| www视频在线观看| 三级欧美日韩| 欧美激情一区| 国产成人综合精品三级| 亚洲欧洲性图库| 欧美日高清视频| 国产精品女主播一区二区三区| 亚洲欧美成人| 99麻豆久久久国产精品免费| 亚洲激情男女视频| 3d成人动漫网站| 日韩在线观看免费| 国产一区二区三区不卡免费观看 | 午夜一级久久| 久久综合色8888| 精品成人在线视频| 日韩av有码在线| 国语自产精品视频在线看| 你懂的免费视频| 噜噜噜在线观看播放视频| 自拍偷拍欧美视频| 亚洲丁香日韩| 日本在线播放一区二区三区| 国产欧美一区二区精品性色超碰 | 色诱女教师一区二区三区| 新久草在线视频| 男人天堂av网站| 欧美家庭影院| 国产精品videossex| 亚洲日本黄色| 久久久不卡网国产精品二区| 在线一区二区视频| 中文字幕在线亚洲| 91成品视频入口| 加勒比一区二区三区在线| 日本欧美一区| 国产精品久久久久久久久妇女| 国产一区二区美女| 亚洲图片欧美综合| 亚洲精品一区二区久| 久久久成人影院| 粉嫩粉嫩芽的虎白女18在线视频| ririsao久久精品一区| 在线一级成人| 久久99国产精品久久99| 亚洲综合激情另类小说区| 日韩精品欧美激情| 精品一成人岛国片在线观看| 视频二区在线| 日本欧美在线| 亚洲精品美女| 国产精品色哟哟| 日韩免费性生活视频播放| 久久人人爽人人| 国产福利电影网| 欧美日韩在线观看首页| 日韩免费在线| gogo大胆日本视频一区| 欧美偷拍一区二区| 欧美精品久久一区二区| 1024亚洲| 亚洲校园激情春色| 欧美一区视频| 久久久国产午夜精品| 欧美电影精品一区二区| 伊人色综合久久久天天蜜桃| 三区在线视频| 91黄视频在线| 在线成人中文字幕| 91激情视频| 男人的天堂在线视频免费观看 | 伊人一区二区三区| 亚洲美女动态图120秒| 国产精彩自拍| 麻豆视频在线观看免费| 欧美亚洲色图校园春色| 精品一区二区在线看| 红桃视频成人在线观看| 久久亚洲精品小早川怜子66| 又黄又爽又色视频| 久久电影tv| 亚洲国产电影| 亚洲精品国产无套在线观| 亚洲视频999| 黄网站在线观看高清免费| 色呦呦在线观看视频| 日韩电影一区| 久久久久综合网| 亚洲成人中文字幕| 99视频都是精品热在线播放| 老司机午夜在线视频| 欧美精品尤物在线观看| 99国产精品视频免费观看| 91精品国产色综合久久ai换脸| 男人猛进猛出女人屁股视频| 欧美一区二区视频| 久久精品亚洲成在人线av网址| 国产一区二区三区黄视频 | 欧美a级在线观看| 欧美fxxxxxx另类| 国产精品的网站| 视频直播国产精品| 免费av高清| 精品伊人久久| 国产成人综合在线观看| 欧美一级一区二区| 国产精品久久精品牛牛影视| 国产美女福利在线观看| 欧美天天视频| 亚洲成av人片一区二区梦乃| 欧美精品videossex88| 污网站免费在线观看| 欧美日韩导航| 91美女视频网站| 亚洲国产美女久久久久| 春意影院午夜免费入口| 人人鲁人人莫人人爱精品| 亚洲欧美激情插| 亚洲一区二区精品| 啊啊啊好爽视频| crdy在线观看欧美| 黄色日韩网站视频| xxx.xxx欧美| 欧美sss在线视频| av一本久道久久综合久久鬼色| 欧美吻胸吃奶大尺度电影| 色av中文字幕| 成人看av片| 亚洲手机在线| 欧美日韩激情视频8区| 69av视频在线播放| 九七久久人人| 欧美色图麻豆| 精品久久在线播放| 中文字幕在线免费看| 羞羞电影在线观看www| 国产伊人精品| 日韩欧美中文在线| 麻豆国产入口在线观看免费| h片在线观看视频免费| 蜜桃视频一区| 欧美精品久久99| 日本午夜精华| 欧美成人毛片| 懂色av一区二区三区免费看| 国产网站欧美日韩免费精品在线观看| 成片免费观看视频| 美日韩黄色大片| 欧美激情在线免费观看| 欧美xxxx18性欧美| 91精品国产91久久久久游泳池| 欧美一区视频| 色婷婷香蕉在线一区二区| 国产免费人人看| 欧美黑人巨大xxxxx| 久久狠狠亚洲综合| 亚洲成av人影院在线观看| 免费男女羞羞的视频网站中文版 | 激情av在线| 日日摸夜夜添夜夜添国产精品| 欧美精品1区2区3区| h片在线观看视频| 超碰在线一区| 中文字幕五月欧美| 欧美一级淫片播放口| 国产第一页在线| 欧美aaaaaa午夜精品| 亚洲国产黄色片| 一级毛片免费视频| 日韩极品一区| 狠狠躁天天躁日日躁欧美| 91九色视频蝌蚪| 国产精品亚洲一区二区在线观看| 91视频一区二区| 欧美黑人巨大精品一区二区| 亚洲小说区图片| 日本成人超碰在线观看| 亚洲国产97在线精品一区| 免费看成年人视频在线观看| 天天插综合网| 在线看日韩精品电影| 超污黄色软件| 亚州国产精品| 午夜久久久影院| 羞羞视频网页| 岛国av一区| 亚洲激情图片一区| 韩日在线播放| 免费看日产一区二区三区| 国产精品黄色在线观看| 色吊丝中文字幕| 日韩成人在线电影| 国产午夜精品理论片a级大结局| 97福利一区二区| 亚洲国产成人二区| 972aa.com艺术欧美| 久久久久亚洲精品成人网小说| 大香伊人久久| 成人一区二区三区在线观看| 久久艹在线视频| 日韩欧美在线网站| 成人黄色电影网址| 国产精品片aa在线观看| 福利视频一区二区| 88av看到爽| 99久久www免费| 欧美美女一区二区在线观看| 亚洲美女在线免费观看| 欧美成人日本| 精品日韩一区二区三区免费视频| 最新天堂资源在线资源| av不卡免费看| 精品偷拍各种wc美女嘘嘘| 天天影视久久综合| 久久www免费人成看片高清| 日韩在线视频二区| ririsao久久精品一区| 波多野结衣在线一区| 77777亚洲午夜久久多人| 成人国产一区| 17c精品麻豆一区二区免费| 国产亚洲精品拍拍拍拍拍| 都市激情久久| 欧美日韩美女在线观看| 中文字幕2019第三页| 亚洲电影在线一区二区三区| 欧美一区午夜视频在线观看 | 午夜国产精品视频| 欧美大片在线观看一区二区| 夜色资源站国产www在线视频| 十九岁完整版在线观看好看云免费| 黄色精品一区| 337p日本欧洲亚洲大胆精品| 青青草免费在线| 日韩国产精品大片| 色香阁99久久精品久久久| 国产激情视频在线看| 日韩成人久久| 一二三四社区欧美黄| 日本一二三视频| 日韩电影免费在线观看| 欧美一区二区三区在线观看 | 亚洲国产欧美一区二区三区同亚洲| 国产黄色免费在线观看| 久久99精品国产| 午夜精品久久久久久久男人的天堂 | eeuss草民免费| 中文字幕乱码亚洲无线精品一区 | 台湾佬中文娱乐网欧美电影| 国产亚洲美州欧州综合国| 国产麻豆永久视频| 国产精品一区二区av日韩在线| 欧美精品v日韩精品v韩国精品v| 人成免费电影一二三区在线观看| 蜜桃久久久久久久| 久久久久久美女| 日韩欧美一级| 一本色道综合亚洲| 中国黄色在线视频| 久久 天天综合| 亚洲另类图片另类电影| aiai久久| 欧美男女性生活在线直播观看| 精品av中文字幕在线毛片| 国产麻豆视频精品| 四虎影在永久在线观看| 亚洲va久久| 日韩精品一区二区在线| 午夜视频在线| 97se亚洲国产综合自在线不卡 | 欧美亚洲日本国产| 深夜福利免费在线观看| 国产美女在线观看一区| 中文娱乐网av| 九九热精品视频在线观看| 日韩精品影音先锋| 国产91足控脚交在线观看| 亚洲欧洲无码一区二区三区| 成人福利影院| 日韩高清不卡一区二区| 国语自产精品视频在线看一大j8| av一级亚洲| 日韩欧美一区二区免费| av片在线观看| 国产精品女同一区二区三区| 四虎免费av| 蜜桃一区二区三区四区| 中文字幕在线免费看| 欧美美女视频| 亚洲视频在线观看视频| 日韩精品麻豆| 色噜噜狠狠成人中文综合| aaa在线观看| 久久精品亚洲乱码伦伦中文| ass大特写| 日本欧美一区二区三区乱码| 26uuu亚洲伊人春色| 亚洲宅男一区| 亚洲美女性视频| 精品免费av一区二区三区| 一本高清dvd不卡在线观看| 成人欧美一区| 国产日韩精品久久久| www成人免费观看网站| 综合激情网站| 欧美国产免费| 欧美成人精品一区二区三区在线看| 欧美激情性爽国产精品17p| 91麻豆123| 91精品国产综合久久久蜜臀粉嫩| 欧美日韩四区|