Turnstile Status and Passenger Posture Based Passenger ticket Evading Action Surveillance System

Turnstile Status and Passenger Posture Based Passenger ticket Evading Action Surveillance System | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Turnstile Status and Passenger Posture Based Passenger ticket Evading Action Surveillance System Zhao Limin, Liu Yidong, Zheng Wenyan, Guo Changyou, Fu Guanhua This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7213496/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Ticket evasion has deteriorated with the development of automation in smart metro stations. To reduce management costs and improve To reduce management costs and improve operational efficiency, the paper designs and implements the Passenger ticket evading Action Surveillance System (PASS). The system utilizes YOLOv5 network to identify the wing-type turnstile and generates surveillance areas accordingly. The system designs a tracking The system designs a tracking algorithm to build the passenger posture and displacement sequences using the Openpose network. The system designs a tracking algorithm to build the passenger posture and displacement sequences using the Openpose network. According to the test result, PASS improves by 6.0-41.2% in detection accuracy and reduces by 6.1–58.3% in false positive rate compared to traditional purely pose estimation. According to the test result, PASS improves by 6.0-41.2% in detection accuracy and reduces by 6.1–58.3% in false positive rate. Physical sciences/Engineering Physical sciences/Mathematics and computing YOLOv5 Openpose tracking algorithm ticket evasion action surveillance smart metro station Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7213496","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":503199341,"identity":"779bff32-c9d8-457b-b646-becdb7bc369c","order_by":0,"name":"Zhao Limin","email":"","orcid":"","institution":"Dezhou University","correspondingAuthor":false,"prefix":"","firstName":"Zhao","middleName":"","lastName":"Limin","suffix":""},{"id":503199342,"identity":"395a0afe-5785-4232-948b-419710ed00ba","order_by":1,"name":"Liu Yidong","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAyElEQVRIiWNgGAWjYBACA2YgkcAGZjM+SKioIU0Ls8GDM8eI0AImIVrYJB+2MBOhhZ3HTOJBmU2efNjZZxWJDWwM/O3dCQQcBtSScC6t2PB2utmNxB0yDBJnzm4grCWx7XDixtlpbDcSz7AxGEjkkqClILGNmQQt86XT2BiI1MJWbAH0S+IG6TRmiYQzx3gI+sW+//DGmz/KbBLnz05j/PijokaOv70XvxYgYJEAW3cAwuMhpBwEmD+ASPkGYtSOglEwCkbBiAQAF6ZDrQTIF5IAAAAASUVORK5CYII=","orcid":"","institution":"Tianjin Jinhang Intelligent Control Technology Co., Ltd","correspondingAuthor":true,"prefix":"","firstName":"Liu","middleName":"","lastName":"Yidong","suffix":""},{"id":503199343,"identity":"2fc00a4f-e40d-41e0-a8cc-65e9df25ac10","order_by":2,"name":"Zheng Wenyan","email":"","orcid":"","institution":"Dezhou University","correspondingAuthor":false,"prefix":"","firstName":"Zheng","middleName":"","lastName":"Wenyan","suffix":""},{"id":503199344,"identity":"9fbf1072-bbb9-4b1e-ab4a-60ec390efff2","order_by":3,"name":"Guo Changyou","email":"","orcid":"","institution":"Dezhou University","correspondingAuthor":false,"prefix":"","firstName":"Guo","middleName":"","lastName":"Changyou","suffix":""},{"id":503199347,"identity":"93d32f0b-7047-44e5-a42b-a596707d21a5","order_by":4,"name":"Fu Guanhua","email":"","orcid":"","institution":"Tianjin Jinhang Intelligent Control Technology Co., Ltd","correspondingAuthor":false,"prefix":"","firstName":"Fu","middleName":"","lastName":"Guanhua","suffix":""}],"badges":[],"createdAt":"2025-07-25 10:53:22","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7213496/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7213496/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":102297512,"identity":"b6e2f2ae-67b1-4bb7-bbed-fee247719e8b","added_by":"auto","created_at":"2026-02-10 10:27:55","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1007433,"visible":true,"origin":"","legend":"","description":"","filename":"screportPassengerticketEvadingActionSurveillanceSystemV0.3.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7213496/v1_covered_0ee9e7c3-a80c-4284-8328-4059548c29dc.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Turnstile Status and Passenger Posture Based Passenger ticket Evading Action Surveillance System","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"YOLOv5, Openpose, tracking algorithm, ticket evasion, action surveillance, smart metro station","lastPublishedDoi":"10.21203/rs.3.rs-7213496/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7213496/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eTicket evasion has deteriorated with the development of automation in smart metro stations. To reduce management costs and improve To reduce management costs and improve operational efficiency, the paper designs and implements the Passenger ticket evading Action Surveillance System (PASS). The system utilizes YOLOv5 network to identify the wing-type turnstile and generates surveillance areas accordingly. The system designs a tracking The system designs a tracking algorithm to build the passenger posture and displacement sequences using the Openpose network. The system designs a tracking algorithm to build the passenger posture and displacement sequences using the Openpose network. According to the test result, PASS improves by 6.0-41.2% in detection accuracy and reduces by 6.1\u0026ndash;58.3% in false positive rate compared to traditional purely pose estimation. 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