BI-OPTIC OBJECT CLASSIFICATION SYSTEM
The present disclosure provides a system and method for identifying items. The method includes scanning a first item using a first barcode scanner and a second barcode scanner and determining, based on signals from the first barcode scanner and the second barcode scanner, a first two-dimensional lig...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Patent |
| Sprache: | 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 | KHAITAS, Andrei JOHNSON, Brad Matthew BROSNAN, Susan W |
| description | The present disclosure provides a system and method for identifying items. The method includes scanning a first item using a first barcode scanner and a second barcode scanner and determining, based on signals from the first barcode scanner and the second barcode scanner, a first two-dimensional light grid indicating where the first item broke beams of the first barcode scanner and the second barcode scanner. The method also includes predicting, using a machine learning model and based on the first two-dimensional light grid, a first category for the first item, receiving, from a camera, an image of the first item, and comparing the image of the first item to a first set of images assigned to the first category to determine an identity of the first item. |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US2023297990A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US2023297990A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US2023297990A13</originalsourceid><addsrcrecordid>eNrjZFB18tT1DwjxdFbwd_JydQ5RcPZxDA72dPN0dgzx9PdTCI4MDnH15WFgTUvMKU7lhdLcDMpuriHOHrqpBfnxqcUFicmpeakl8aHBRgZGxkaW5paWBo6GxsSpAgAvGyRV</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>BI-OPTIC OBJECT CLASSIFICATION SYSTEM</title><source>esp@cenet</source><creator>KHAITAS, Andrei ; JOHNSON, Brad Matthew ; BROSNAN, Susan W</creator><creatorcontrib>KHAITAS, Andrei ; JOHNSON, Brad Matthew ; BROSNAN, Susan W</creatorcontrib><description>The present disclosure provides a system and method for identifying items. The method includes scanning a first item using a first barcode scanner and a second barcode scanner and determining, based on signals from the first barcode scanner and the second barcode scanner, a first two-dimensional light grid indicating where the first item broke beams of the first barcode scanner and the second barcode scanner. The method also includes predicting, using a machine learning model and based on the first two-dimensional light grid, a first category for the first item, receiving, from a camera, an image of the first item, and comparing the image of the first item to a first set of images assigned to the first category to determine an identity of the first item.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; HANDLING RECORD CARRIERS ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</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=20230921&DB=EPODOC&CC=US&NR=2023297990A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230921&DB=EPODOC&CC=US&NR=2023297990A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>KHAITAS, Andrei</creatorcontrib><creatorcontrib>JOHNSON, Brad Matthew</creatorcontrib><creatorcontrib>BROSNAN, Susan W</creatorcontrib><title>BI-OPTIC OBJECT CLASSIFICATION SYSTEM</title><description>The present disclosure provides a system and method for identifying items. The method includes scanning a first item using a first barcode scanner and a second barcode scanner and determining, based on signals from the first barcode scanner and the second barcode scanner, a first two-dimensional light grid indicating where the first item broke beams of the first barcode scanner and the second barcode scanner. The method also includes predicting, using a machine learning model and based on the first two-dimensional light grid, a first category for the first item, receiving, from a camera, an image of the first item, and comparing the image of the first item to a first set of images assigned to the first category to determine an identity of the first item.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>HANDLING RECORD CARRIERS</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZFB18tT1DwjxdFbwd_JydQ5RcPZxDA72dPN0dgzx9PdTCI4MDnH15WFgTUvMKU7lhdLcDMpuriHOHrqpBfnxqcUFicmpeakl8aHBRgZGxkaW5paWBo6GxsSpAgAvGyRV</recordid><startdate>20230921</startdate><enddate>20230921</enddate><creator>KHAITAS, Andrei</creator><creator>JOHNSON, Brad Matthew</creator><creator>BROSNAN, Susan W</creator><scope>EVB</scope></search><sort><creationdate>20230921</creationdate><title>BI-OPTIC OBJECT CLASSIFICATION SYSTEM</title><author>KHAITAS, Andrei ; JOHNSON, Brad Matthew ; BROSNAN, Susan W</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2023297990A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>HANDLING RECORD CARRIERS</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>KHAITAS, Andrei</creatorcontrib><creatorcontrib>JOHNSON, Brad Matthew</creatorcontrib><creatorcontrib>BROSNAN, Susan W</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>KHAITAS, Andrei</au><au>JOHNSON, Brad Matthew</au><au>BROSNAN, Susan W</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>BI-OPTIC OBJECT CLASSIFICATION SYSTEM</title><date>2023-09-21</date><risdate>2023</risdate><abstract>The present disclosure provides a system and method for identifying items. The method includes scanning a first item using a first barcode scanner and a second barcode scanner and determining, based on signals from the first barcode scanner and the second barcode scanner, a first two-dimensional light grid indicating where the first item broke beams of the first barcode scanner and the second barcode scanner. The method also includes predicting, using a machine learning model and based on the first two-dimensional light grid, a first category for the first item, receiving, from a camera, an image of the first item, and comparing the image of the first item to a first set of images assigned to the first category to determine an identity of the first item.</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | eng |
| recordid | cdi_epo_espacenet_US2023297990A1 |
| source | esp@cenet |
| subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | BI-OPTIC OBJECT CLASSIFICATION SYSTEM |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-02T12%3A25%3A25IST&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=KHAITAS,%20Andrei&rft.date=2023-09-21&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS2023297990A1%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 |