{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T19:19:08Z","timestamp":1774034348882,"version":"3.50.1"},"reference-count":28,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2025,2,26]],"date-time":"2025-02-26T00:00:00Z","timestamp":1740528000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"European Commission","award":["101120726"],"award-info":[{"award-number":["101120726"]}]},{"name":"European Commission","award":["SBPLY\/21\/180501\/000025"],"award-info":[{"award-number":["SBPLY\/21\/180501\/000025"]}]},{"name":"Autonomous Government of Castilla-La Mancha","award":["101120726"],"award-info":[{"award-number":["101120726"]}]},{"name":"Autonomous Government of Castilla-La Mancha","award":["SBPLY\/21\/180501\/000025"],"award-info":[{"award-number":["SBPLY\/21\/180501\/000025"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Imaging"],"abstract":"<jats:p>In an era where security concerns are ever-increasing, the need for advanced technology to detect visible and concealed weapons has become critical. This paper introduces a novel two-stage method for concealed handgun detection, leveraging thermal imaging and deep learning, offering a potential real-world solution for law enforcement and surveillance applications. The approach first detects potential firearms at the frame level and subsequently verifies their association with a detected person, significantly reducing false positives and false negatives. Alarms are triggered only under specific conditions to ensure accurate and reliable detection, with precautionary alerts raised if no person is detected but a firearm is identified. Key contributions include a lightweight algorithm optimized for low-end embedded devices, making it suitable for wearable and mobile applications, and the creation of a tailored thermal dataset for controlled concealment scenarios. The system is implemented on a chest-worn Android smartphone with a miniature thermal camera, enabling hands-free operation. Experimental results validate the method\u2019s effectiveness, achieving an mAP@50-95 of 64.52% on our dataset, improving state-of-the-art methods. By reducing false negatives and improving reliability, this study offers a scalable, practical solution for security applications.<\/jats:p>","DOI":"10.3390\/jimaging11030072","type":"journal-article","created":{"date-parts":[[2025,2,26]],"date-time":"2025-02-26T08:28:31Z","timestamp":1740558511000},"page":"72","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Concealed Weapon Detection Using Thermal Cameras"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-2484-4087","authenticated-orcid":false,"given":"Juan D.","family":"Mu\u00f1oz","sequence":"first","affiliation":[{"name":"VISILAB, Escuela T\u00e9cnica Superior de Ingenier\u00eda Industrial, University of Castilla-La Mancha, 13071 Ciudad Real, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1454-7624","authenticated-orcid":false,"given":"Jesus","family":"Ruiz-Santaquiteria","sequence":"additional","affiliation":[{"name":"VISILAB, Escuela T\u00e9cnica Superior de Ingenier\u00eda Industrial, University of Castilla-La Mancha, 13071 Ciudad Real, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0841-4131","authenticated-orcid":false,"given":"Oscar","family":"Deniz","sequence":"additional","affiliation":[{"name":"VISILAB, Escuela T\u00e9cnica Superior de Ingenier\u00eda Industrial, University of Castilla-La Mancha, 13071 Ciudad Real, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7345-4869","authenticated-orcid":false,"given":"Gloria","family":"Bueno","sequence":"additional","affiliation":[{"name":"VISILAB, Escuela T\u00e9cnica Superior de Ingenier\u00eda Industrial, University of Castilla-La Mancha, 13071 Ciudad Real, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2025,2,26]]},"reference":[{"key":"ref_1","unstructured":"Wikipedia Contributors (2025, January 30). 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