Coal gangue grabbing method and system based on image recognition
The invention provides a coal gangue classification grabbing method and system based on image recognition, and relates to the technical field of coal gangue sorting. The coal gangue classification grabbing method based on image recognition comprises the following steps that a coal gangue target dete...
Gespeichert in:
| Hauptverfasser: | , , , |
|---|---|
| Format: | Patent |
| Sprache: | chi ; eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | |
| container_volume | |
| creator | YE YIBO LYU RUIHONG LIU FUHUA WANG JIUHONG |
| description | The invention provides a coal gangue classification grabbing method and system based on image recognition, and relates to the technical field of coal gangue sorting. The coal gangue classification grabbing method based on image recognition comprises the following steps that a coal gangue target detection model is constructed and used for recognizing and classifying two targets of coal and coal gangue; a coal gangue grabbing detection model is constructed and used for generating the optimal grabbing posture, recognized by the coal gangue target detection model, of the coal gangue; and a coal gangue grabbing planning system is built and used for controlling the robot to move to the posture position under the robot coordinate system according to the optimal grabbing posture to execute the task of grabbing the recognized coal gangue. Therefore, the method has the beneficial technical effects that the labor cost is reduced, the misjudgment loss is reduced, the environmental pollution is reduced, the treatment cost |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN116984269A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN116984269A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN116984269A3</originalsourceid><addsrcrecordid>eNqNyjEOwjAMBdAuDAi4gzkAQwFVdKwiEBMTe-U0HzdSY1dNGLg9CwdgestbV50znkhY5Q2Shb2PKpRQRgvEGih_ckEizxmBTCkmFtCCwURjiabbavXiKWP3c1Ptb9enux8wW4888wBF6d2jrpv2cj42bXf653wB1Aoxbw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Coal gangue grabbing method and system based on image recognition</title><source>esp@cenet</source><creator>YE YIBO ; LYU RUIHONG ; LIU FUHUA ; WANG JIUHONG</creator><creatorcontrib>YE YIBO ; LYU RUIHONG ; LIU FUHUA ; WANG JIUHONG</creatorcontrib><description>The invention provides a coal gangue classification grabbing method and system based on image recognition, and relates to the technical field of coal gangue sorting. The coal gangue classification grabbing method based on image recognition comprises the following steps that a coal gangue target detection model is constructed and used for recognizing and classifying two targets of coal and coal gangue; a coal gangue grabbing detection model is constructed and used for generating the optimal grabbing posture, recognized by the coal gangue target detection model, of the coal gangue; and a coal gangue grabbing planning system is built and used for controlling the robot to move to the posture position under the robot coordinate system according to the optimal grabbing posture to execute the task of grabbing the recognized coal gangue. Therefore, the method has the beneficial technical effects that the labor cost is reduced, the misjudgment loss is reduced, the environmental pollution is reduced, the treatment cost</description><language>chi ; eng</language><subject>PERFORMING OPERATIONS ; POSTAL SORTING ; SEPARATING SOLIDS FROM SOLIDS ; SORTING ; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTEDPIECE-MEAL, e.g. BY PICKING ; TRANSPORTING</subject><creationdate>2023</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=20231103&DB=EPODOC&CC=CN&NR=116984269A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76293</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20231103&DB=EPODOC&CC=CN&NR=116984269A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>YE YIBO</creatorcontrib><creatorcontrib>LYU RUIHONG</creatorcontrib><creatorcontrib>LIU FUHUA</creatorcontrib><creatorcontrib>WANG JIUHONG</creatorcontrib><title>Coal gangue grabbing method and system based on image recognition</title><description>The invention provides a coal gangue classification grabbing method and system based on image recognition, and relates to the technical field of coal gangue sorting. The coal gangue classification grabbing method based on image recognition comprises the following steps that a coal gangue target detection model is constructed and used for recognizing and classifying two targets of coal and coal gangue; a coal gangue grabbing detection model is constructed and used for generating the optimal grabbing posture, recognized by the coal gangue target detection model, of the coal gangue; and a coal gangue grabbing planning system is built and used for controlling the robot to move to the posture position under the robot coordinate system according to the optimal grabbing posture to execute the task of grabbing the recognized coal gangue. Therefore, the method has the beneficial technical effects that the labor cost is reduced, the misjudgment loss is reduced, the environmental pollution is reduced, the treatment cost</description><subject>PERFORMING OPERATIONS</subject><subject>POSTAL SORTING</subject><subject>SEPARATING SOLIDS FROM SOLIDS</subject><subject>SORTING</subject><subject>SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTEDPIECE-MEAL, e.g. BY PICKING</subject><subject>TRANSPORTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyjEOwjAMBdAuDAi4gzkAQwFVdKwiEBMTe-U0HzdSY1dNGLg9CwdgestbV50znkhY5Q2Shb2PKpRQRgvEGih_ckEizxmBTCkmFtCCwURjiabbavXiKWP3c1Ptb9enux8wW4888wBF6d2jrpv2cj42bXf653wB1Aoxbw</recordid><startdate>20231103</startdate><enddate>20231103</enddate><creator>YE YIBO</creator><creator>LYU RUIHONG</creator><creator>LIU FUHUA</creator><creator>WANG JIUHONG</creator><scope>EVB</scope></search><sort><creationdate>20231103</creationdate><title>Coal gangue grabbing method and system based on image recognition</title><author>YE YIBO ; LYU RUIHONG ; LIU FUHUA ; WANG JIUHONG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN116984269A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</creationdate><topic>PERFORMING OPERATIONS</topic><topic>POSTAL SORTING</topic><topic>SEPARATING SOLIDS FROM SOLIDS</topic><topic>SORTING</topic><topic>SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTEDPIECE-MEAL, e.g. BY PICKING</topic><topic>TRANSPORTING</topic><toplevel>online_resources</toplevel><creatorcontrib>YE YIBO</creatorcontrib><creatorcontrib>LYU RUIHONG</creatorcontrib><creatorcontrib>LIU FUHUA</creatorcontrib><creatorcontrib>WANG JIUHONG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>YE YIBO</au><au>LYU RUIHONG</au><au>LIU FUHUA</au><au>WANG JIUHONG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Coal gangue grabbing method and system based on image recognition</title><date>2023-11-03</date><risdate>2023</risdate><abstract>The invention provides a coal gangue classification grabbing method and system based on image recognition, and relates to the technical field of coal gangue sorting. The coal gangue classification grabbing method based on image recognition comprises the following steps that a coal gangue target detection model is constructed and used for recognizing and classifying two targets of coal and coal gangue; a coal gangue grabbing detection model is constructed and used for generating the optimal grabbing posture, recognized by the coal gangue target detection model, of the coal gangue; and a coal gangue grabbing planning system is built and used for controlling the robot to move to the posture position under the robot coordinate system according to the optimal grabbing posture to execute the task of grabbing the recognized coal gangue. Therefore, the method has the beneficial technical effects that the labor cost is reduced, the misjudgment loss is reduced, the environmental pollution is reduced, the treatment cost</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | chi ; eng |
| recordid | cdi_epo_espacenet_CN116984269A |
| source | esp@cenet |
| subjects | PERFORMING OPERATIONS POSTAL SORTING SEPARATING SOLIDS FROM SOLIDS SORTING SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTEDPIECE-MEAL, e.g. BY PICKING TRANSPORTING |
| title | Coal gangue grabbing method and system based on image recognition |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-24T17%3A01%3A43IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=YE%20YIBO&rft.date=2023-11-03&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN116984269A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |