Method for constructing driver safety belt recognition model based on YOLOv5s

Method for constructing driver safety belt recognition model based on YOLOv5s

The invention discloses a method for constructing a driver safety belt recognition model based on YOLOv5s, and belongs to the technical field of computer vision. The method comprises the steps that training data and verification data are labeled through a labeling tool, and a training data set and a...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: WU JINXIU, LI XIUXUE, CHEN JINGJING, WAN HUASEN, TIAN RENLIN, BAO MENGQI
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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 WU JINXIU
LI XIUXUE
CHEN JINGJING
WAN HUASEN
TIAN RENLIN
BAO MENGQI
description The invention discloses a method for constructing a driver safety belt recognition model based on YOLOv5s, and belongs to the technical field of computer vision. The method comprises the steps that training data and verification data are labeled through a labeling tool, and a training data set and a verification data set are obtained respectively; according to the training data set and the training parameters, performing model training on a driver safety belt identification model to obtain candidate weights; and evaluating and quantifying the candidate weight according to the verification data set to obtain a target weight, and updating the candidate weight by using the target weight to complete construction of the driver safety belt recognition model. According to the method for constructing the driver safety belt recognition model based on YOLOv5s, a target detection method based on deep learning is introduced into the technical field of driver safety detection, and the method has the advantages of being si
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN117710945A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN117710945A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN117710945A3</originalsourceid><addsrcrecordid>eNrjZPD1TS3JyE9RSMsvUkjOzysuKSpNLsnMS1dIKcosSy1SKE5MSy2pVEhKzSlRKEpNzk_PyyzJzM9TyM1PSc1RSEosTk1RAHIj_X38y0yLeRhY0xJzilN5oTQ3g6Kba4izh25qQX58anFBYnJqXmpJvLOfoaG5uaGBpYmpozExagDU1jXz</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Method for constructing driver safety belt recognition model based on YOLOv5s</title><source>esp@cenet</source><creator>WU JINXIU ; LI XIUXUE ; CHEN JINGJING ; WAN HUASEN ; TIAN RENLIN ; BAO MENGQI</creator><creatorcontrib>WU JINXIU ; LI XIUXUE ; CHEN JINGJING ; WAN HUASEN ; TIAN RENLIN ; BAO MENGQI</creatorcontrib><description>The invention discloses a method for constructing a driver safety belt recognition model based on YOLOv5s, and belongs to the technical field of computer vision. The method comprises the steps that training data and verification data are labeled through a labeling tool, and a training data set and a verification data set are obtained respectively; according to the training data set and the training parameters, performing model training on a driver safety belt identification model to obtain candidate weights; and evaluating and quantifying the candidate weight according to the verification data set to obtain a target weight, and updating the candidate weight by using the target weight to complete construction of the driver safety belt recognition model. According to the method for constructing the driver safety belt recognition model based on YOLOv5s, a target detection method based on deep learning is introduced into the technical field of driver safety detection, and the method has the advantages of being si</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; PHYSICS</subject><creationdate>2024</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&amp;date=20240315&amp;DB=EPODOC&amp;CC=CN&amp;NR=117710945A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,309,781,886,25569,76552</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20240315&amp;DB=EPODOC&amp;CC=CN&amp;NR=117710945A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>WU JINXIU</creatorcontrib><creatorcontrib>LI XIUXUE</creatorcontrib><creatorcontrib>CHEN JINGJING</creatorcontrib><creatorcontrib>WAN HUASEN</creatorcontrib><creatorcontrib>TIAN RENLIN</creatorcontrib><creatorcontrib>BAO MENGQI</creatorcontrib><title>Method for constructing driver safety belt recognition model based on YOLOv5s</title><description>The invention discloses a method for constructing a driver safety belt recognition model based on YOLOv5s, and belongs to the technical field of computer vision. The method comprises the steps that training data and verification data are labeled through a labeling tool, and a training data set and a verification data set are obtained respectively; according to the training data set and the training parameters, performing model training on a driver safety belt identification model to obtain candidate weights; and evaluating and quantifying the candidate weight according to the verification data set to obtain a target weight, and updating the candidate weight by using the target weight to complete construction of the driver safety belt recognition model. According to the method for constructing the driver safety belt recognition model based on YOLOv5s, a target detection method based on deep learning is introduced into the technical field of driver safety detection, and the method has the advantages of being si</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZPD1TS3JyE9RSMsvUkjOzysuKSpNLsnMS1dIKcosSy1SKE5MSy2pVEhKzSlRKEpNzk_PyyzJzM9TyM1PSc1RSEosTk1RAHIj_X38y0yLeRhY0xJzilN5oTQ3g6Kba4izh25qQX58anFBYnJqXmpJvLOfoaG5uaGBpYmpozExagDU1jXz</recordid><startdate>20240315</startdate><enddate>20240315</enddate><creator>WU JINXIU</creator><creator>LI XIUXUE</creator><creator>CHEN JINGJING</creator><creator>WAN HUASEN</creator><creator>TIAN RENLIN</creator><creator>BAO MENGQI</creator><scope>EVB</scope></search><sort><creationdate>20240315</creationdate><title>Method for constructing driver safety belt recognition model based on YOLOv5s</title><author>WU JINXIU ; LI XIUXUE ; CHEN JINGJING ; WAN HUASEN ; TIAN RENLIN ; BAO MENGQI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN117710945A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>WU JINXIU</creatorcontrib><creatorcontrib>LI XIUXUE</creatorcontrib><creatorcontrib>CHEN JINGJING</creatorcontrib><creatorcontrib>WAN HUASEN</creatorcontrib><creatorcontrib>TIAN RENLIN</creatorcontrib><creatorcontrib>BAO MENGQI</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>WU JINXIU</au><au>LI XIUXUE</au><au>CHEN JINGJING</au><au>WAN HUASEN</au><au>TIAN RENLIN</au><au>BAO MENGQI</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Method for constructing driver safety belt recognition model based on YOLOv5s</title><date>2024-03-15</date><risdate>2024</risdate><abstract>The invention discloses a method for constructing a driver safety belt recognition model based on YOLOv5s, and belongs to the technical field of computer vision. The method comprises the steps that training data and verification data are labeled through a labeling tool, and a training data set and a verification data set are obtained respectively; according to the training data set and the training parameters, performing model training on a driver safety belt identification model to obtain candidate weights; and evaluating and quantifying the candidate weight according to the verification data set to obtain a target weight, and updating the candidate weight by using the target weight to complete construction of the driver safety belt recognition model. According to the method for constructing the driver safety belt recognition model based on YOLOv5s, a target detection method based on deep learning is introduced into the technical field of driver safety detection, and the method has the advantages of being si</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN117710945A
source esp@cenet
subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
title Method for constructing driver safety belt recognition model based on YOLOv5s
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-13T07%3A47%3A19IST&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=WU%20JINXIU&rft.date=2024-03-15&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN117710945A%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