Research and development of intelligent camera-based safety monitoring and alert software for students in laboratories at Vietnam Maritime University

Research and development of intelligent camera-based safety monitoring and alert software for students in laboratories at Vietnam Maritime University | 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 Research Article Research and development of intelligent camera-based safety monitoring and alert software for students in laboratories at Vietnam Maritime University Ngo Ngoc Duc This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6471063/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 The study focuses on developing safety monitoring and alert software for students in practice laboratories at Vietnam Maritime University, utilizing security cameras integrated with artificial intelligence (AI). The YOLOv8n deep learning model was chosen to detect violations such as not wearing proper uniforms, unsafe behaviors, and fire hazards. The research team collected and labeled 3,700 images and trained the model on the Google Colab platform over 200 epochs, achieving an average precision (mAP) of nearly 70%. The software displays real-time data from the camera and integrates a Flask API to send alerts and images to a management web interface. Experimental results demonstrate that the system is capable of accurate recognition, rapid response, and stable operation, effectively supporting safety monitoring and assessing students’ compliance with safety regulations in practice. AI safety monitoring YOLOv8 security camera violation detection laboratory real-time alert Full Text Additional Declarations The authors declare no competing interests. Ethics Approval Statement This study was reviewed and approved by the Ethics Committee of Vietnam Maritime University. The research complies with all institutional guidelines regarding studies involving human participants. Informed Consent Statement All participants (students) involved in this study were fully informed about the nature and purpose of the research. Written consent was obtained from each participant to participate and to allow the use of their video images for research purposes. 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. 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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-6471063","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":444345757,"identity":"bd4e1d77-9771-49b3-85a7-646dc175fa72","order_by":0,"name":"Ngo Ngoc Duc","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABDklEQVRIie3RMUsDMRTA8RcD7ZLWNUE4v0KOGxSsOPhFLgTOxcFJHAPCrV1PqJ+iUHW74waXw66BW+4QOim0szf4LB0UTO3okP8QSHg/EgiAz/cfy4E0q27E9tc7uTll2wkN70wSCEN3J72DgSkjmdNvp9vI0OoFHzyWajqf55RdzQ6Pspg07ymoBwcRNomORXWhZlYDZbIOJzam4T2SJ/M7kfaSWNk7QUKBZLImGY/xqSngU50EcIaq6bhckzMk/Y8/yB4v0vNIggZYylp93UKRBC4iqkUUmioJuNUyR6Iz1t6KyQt3kuGzbl+7G/zKcdE2cVefZn1dLN+uR8xFfrSZIQYXvsO8z+fz+Vx9AjykXgfLNfT0AAAAAElFTkSuQmCC","orcid":"","institution":"","correspondingAuthor":true,"prefix":"","firstName":"Ngo","middleName":"Ngoc","lastName":"Duc","suffix":""}],"badges":[],"createdAt":"2025-04-17 10:55:56","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-6471063/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6471063/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":80993281,"identity":"453be4ac-6a59-4cd1-af59-26ce01ba98fb","added_by":"auto","created_at":"2025-04-21 03:55:48","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":581779,"visible":true,"origin":"","legend":"","description":"","filename":"NCKH.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6471063/v1_covered_7d3b2000-22f8-406d-b99d-5cf1030c5613.pdf"}],"financialInterests":"\u003cp\u003eThe authors declare no competing interests.\u003c/p\u003e\n\u003cp\u003eEthics Approval Statement This study was reviewed and approved by the Ethics Committee of Vietnam Maritime University. 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