Method and device for visually identifying artificial intelligent machine under common and special environments
The invention relates to a method and a device for visually identifying an artificial intelligent machine under common and special environments. The invention aims to solve the problem that the prior art is not suitable for multi-field measurement. A light output system is composed of a laser (1), a...
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| creator | Li Yane Yue Jun Chen Bingquan Chen Yong Liao Yanbiao Li Xianluo Deng Jianping Song Limei Ren Xusheng Zhang Min Teng Linwangtao Li Hongsheng |
| description | The invention relates to a method and a device for visually identifying an artificial intelligent machine under common and special environments. The invention aims to solve the problem that the prior art is not suitable for multi-field measurement. A light output system is composed of a laser (1), a beam shaping system (2), a rectangular raster (3), a monochrome Fourier transform lens (4), a frequency spectrum selector (5), a wave plate (6), a monochrome multiplying power lens (7) and a high-speed scan mirror (9) which are successively arranged on a precision lead screw (8-1) and a precision guide rail (8-2) in turn along the light path; the light output system is utilized to project sine structured light; a visual collecting identifying system is used for visually collecting and identifying a to-be-identified target (10); the visual collecting identifying system is composed of a computer (14), a telecentric lens connected with the computer (14), a high speed CCD or CMOS (11), a laser ranging system (12) and |
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The invention aims to solve the problem that the prior art is not suitable for multi-field measurement. A light output system is composed of a laser (1), a beam shaping system (2), a rectangular raster (3), a monochrome Fourier transform lens (4), a frequency spectrum selector (5), a wave plate (6), a monochrome multiplying power lens (7) and a high-speed scan mirror (9) which are successively arranged on a precision lead screw (8-1) and a precision guide rail (8-2) in turn along the light path; the light output system is utilized to project sine structured light; a visual collecting identifying system is used for visually collecting and identifying a to-be-identified target (10); the visual collecting identifying system is composed of a computer (14), a telecentric lens connected with the computer (14), a high speed CCD or CMOS (11), a laser ranging system (12) and</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; GYROSCOPIC INSTRUMENTS ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; MEASURING ; MEASURING DISTANCES, LEVELS OR BEARINGS ; NAVIGATION ; PHOTOGRAMMETRY OR VIDEOGRAMMETRY ; PHYSICS ; SURVEYING ; TESTING</subject><creationdate>2016</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20160824&DB=EPODOC&CC=CN&NR=105890575A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25563,76418</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20160824&DB=EPODOC&CC=CN&NR=105890575A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Li Yane</creatorcontrib><creatorcontrib>Yue Jun</creatorcontrib><creatorcontrib>Chen Bingquan</creatorcontrib><creatorcontrib>Chen Yong</creatorcontrib><creatorcontrib>Liao Yanbiao</creatorcontrib><creatorcontrib>Li Xianluo</creatorcontrib><creatorcontrib>Deng Jianping</creatorcontrib><creatorcontrib>Song Limei</creatorcontrib><creatorcontrib>Ren Xusheng</creatorcontrib><creatorcontrib>Zhang Min</creatorcontrib><creatorcontrib>Teng Linwangtao</creatorcontrib><creatorcontrib>Li Hongsheng</creatorcontrib><title>Method and device for visually identifying artificial intelligent machine under common and special environments</title><description>The invention relates to a method and a device for visually identifying an artificial intelligent machine under common and special environments. The invention aims to solve the problem that the prior art is not suitable for multi-field measurement. A light output system is composed of a laser (1), a beam shaping system (2), a rectangular raster (3), a monochrome Fourier transform lens (4), a frequency spectrum selector (5), a wave plate (6), a monochrome multiplying power lens (7) and a high-speed scan mirror (9) which are successively arranged on a precision lead screw (8-1) and a precision guide rail (8-2) in turn along the light path; the light output system is utilized to project sine structured light; a visual collecting identifying system is used for visually collecting and identifying a to-be-identified target (10); the visual collecting identifying system is composed of a computer (14), a telecentric lens connected with the computer (14), a high speed CCD or CMOS (11), a laser ranging system (12) and</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>GYROSCOPIC INSTRUMENTS</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>MEASURING</subject><subject>MEASURING DISTANCES, LEVELS OR BEARINGS</subject><subject>NAVIGATION</subject><subject>PHOTOGRAMMETRY OR VIDEOGRAMMETRY</subject><subject>PHYSICS</subject><subject>SURVEYING</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2016</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNzEEKwjAQBdBuXIh6h_EAQkWKupSiuNGV-zIk03YgmSlJGujtLcUDuPof_uOvC31R6tUCigVLmQ1BqwEyxxGdm4AtSeJ2YukAw9zYMDpgSeQcd_MIHk3PQjCKpQBGvVdZ_uJACybJHFT8jOO2WLXoIu1-uSn2j_unfh5o0IbigIaEUlO_j2V1uZbVubqd_jFfaJVD0w</recordid><startdate>20160824</startdate><enddate>20160824</enddate><creator>Li Yane</creator><creator>Yue Jun</creator><creator>Chen Bingquan</creator><creator>Chen Yong</creator><creator>Liao Yanbiao</creator><creator>Li Xianluo</creator><creator>Deng Jianping</creator><creator>Song Limei</creator><creator>Ren Xusheng</creator><creator>Zhang Min</creator><creator>Teng Linwangtao</creator><creator>Li Hongsheng</creator><scope>EVB</scope></search><sort><creationdate>20160824</creationdate><title>Method and device for visually identifying artificial intelligent machine under common and special environments</title><author>Li Yane ; Yue Jun ; Chen Bingquan ; Chen Yong ; Liao Yanbiao ; Li Xianluo ; Deng Jianping ; Song Limei ; Ren Xusheng ; Zhang Min ; Teng Linwangtao ; Li Hongsheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN105890575A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2016</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>GYROSCOPIC INSTRUMENTS</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>MEASURING</topic><topic>MEASURING DISTANCES, LEVELS OR BEARINGS</topic><topic>NAVIGATION</topic><topic>PHOTOGRAMMETRY OR VIDEOGRAMMETRY</topic><topic>PHYSICS</topic><topic>SURVEYING</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>Li Yane</creatorcontrib><creatorcontrib>Yue Jun</creatorcontrib><creatorcontrib>Chen Bingquan</creatorcontrib><creatorcontrib>Chen Yong</creatorcontrib><creatorcontrib>Liao Yanbiao</creatorcontrib><creatorcontrib>Li Xianluo</creatorcontrib><creatorcontrib>Deng Jianping</creatorcontrib><creatorcontrib>Song Limei</creatorcontrib><creatorcontrib>Ren Xusheng</creatorcontrib><creatorcontrib>Zhang Min</creatorcontrib><creatorcontrib>Teng Linwangtao</creatorcontrib><creatorcontrib>Li Hongsheng</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Li Yane</au><au>Yue Jun</au><au>Chen Bingquan</au><au>Chen Yong</au><au>Liao Yanbiao</au><au>Li Xianluo</au><au>Deng Jianping</au><au>Song Limei</au><au>Ren Xusheng</au><au>Zhang Min</au><au>Teng Linwangtao</au><au>Li Hongsheng</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Method and device for visually identifying artificial intelligent machine under common and special environments</title><date>2016-08-24</date><risdate>2016</risdate><abstract>The invention relates to a method and a device for visually identifying an artificial intelligent machine under common and special environments. The invention aims to solve the problem that the prior art is not suitable for multi-field measurement. A light output system is composed of a laser (1), a beam shaping system (2), a rectangular raster (3), a monochrome Fourier transform lens (4), a frequency spectrum selector (5), a wave plate (6), a monochrome multiplying power lens (7) and a high-speed scan mirror (9) which are successively arranged on a precision lead screw (8-1) and a precision guide rail (8-2) in turn along the light path; the light output system is utilized to project sine structured light; a visual collecting identifying system is used for visually collecting and identifying a to-be-identified target (10); the visual collecting identifying system is composed of a computer (14), a telecentric lens connected with the computer (14), a high speed CCD or CMOS (11), a laser ranging system (12) and</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING GYROSCOPIC INSTRUMENTS IMAGE DATA PROCESSING OR GENERATION, IN GENERAL MEASURING MEASURING DISTANCES, LEVELS OR BEARINGS NAVIGATION PHOTOGRAMMETRY OR VIDEOGRAMMETRY PHYSICS SURVEYING TESTING |
| title | Method and device for visually identifying artificial intelligent machine under common and special environments |
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