{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T11:45:46Z","timestamp":1785930346065,"version":"3.56.0"},"reference-count":25,"publisher":"Walter de Gruyter GmbH","issue":"1","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,1,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Nowadays, the automobile sector is one of the hottest applications, where vehicles can be intelligent by using IoT technology. But unfortunately, these vehicles suffer from many crimes. Hence it has become a big challenge for the IoT to avoid such these crimes from professional thieves. This paper presents a proposal for the development of a vehicle guard and alarm system using biometric authentication based on IoT technology. Whereas, for vehicle security issues; the proposed system\n                    <jats:italic>VSS<\/jats:italic>\n                    \u2212\n                    <jats:italic>IoT<\/jats:italic>\n                    gives only full access for authorized vehicle\u2019s driver based on the interface of a\n                    <jats:italic>Raspberry Pi<\/jats:italic>\n                    3\n                    <jats:italic>Model B<\/jats:italic>\n                    + development board, Pi camera,\n                    <jats:italic>PIR<\/jats:italic>\n                    sensor, and smart-phone. Therefore, if the proposed system detects an unauthorized person inside the vehicle, then the system will notify and send his image to vehicle\u2019s owner and\/or to a police workstation through the Internet, as well as, its location in case the vehicle is stolen or damaged. The proposed system is tested on two datasets that are ORL dataset and our dataset. The experimental results of the\n                    <jats:italic>VSS<\/jats:italic>\n                    \u2212\n                    <jats:italic>IoT<\/jats:italic>\n                    showed that the accuracy is 98.2% on ORL dataset, whereas 99.6% when applied on our dataset. Besides, the V\n                    <jats:italic>SS<\/jats:italic>\n                    \u2212\n                    <jats:italic>IoT<\/jats:italic>\n                    enhances the sensitivity to 97.7% which is important for real-time. As well as the result demonstrated that the proposed system took shorter time 0.152\n                    <jats:italic>sec<\/jats:italic>\n                    under different illumination conditions, when the value of the threshold is 3 * 10\n                    <jats:sup>3<\/jats:sup>\n                    and 3.50 * 10\n                    <jats:sup>3<\/jats:sup>\n                    . Therefore, the\n                    <jats:italic>VSS<\/jats:italic>\n                    \u2212\n                    <jats:italic>IoT<\/jats:italic>\n                    is very robust and reliable for face recognition when deployed on the low-power processor.\n                  <\/jats:p>","DOI":"10.1515\/comp-2020-0003","type":"journal-article","created":{"date-parts":[[2020,3,31]],"date-time":"2020-03-31T10:10:29Z","timestamp":1585649429000},"page":"17-29","source":"Crossref","is-referenced-by-count":30,"title":["Vehicle Security Systems using Face Recognition based on Internet of Things"],"prefix":"10.1515","volume":"10","author":[{"given":"Ahmed A.","family":"Elngar","sequence":"first","affiliation":[{"name":"Faculty of Computers and Artificial Intelligence , Beni-Suef University , Beni-Suef , 62511 , Egypt"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohammed","family":"Kayed","sequence":"additional","affiliation":[{"name":"Faculty of Computers and Artificial Intelligence , Beni-Suef University , Beni-Suef , 62511 , Egypt"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"374","published-online":{"date-parts":[[2020,3,20]]},"reference":[{"key":"2026080511041785988_j_comp-2020-0003_ref_001_w2aab3b7b7b1b6b1ab1ab1Aa","unstructured":"[1] Mahesh R. P., Imdad R., \u201cIoT Based Embedded System for Vehicle Security And Driver Surveillance\u201d, Proceedings of the 2nd International Conference on Inventive Communication and Computational Technologies (ICICCT 2018), IEEE Explore Compliant -Part Number: CFP18BAC-ART; ISBN:978-1-5386-1974-2."},{"key":"2026080511041785988_j_comp-2020-0003_ref_002_w2aab3b7b7b1b6b1ab1ab2Aa","doi-asserted-by":"crossref","unstructured":"[2] Vivek K. S., Soumitra M., and Harshit M.,\u201d Car Security using Internet of Things\u201d, 1st IEEE International Conference on Power Electronics Intelligent Control and Energy Systems (ICPEICES-2016), 978-1-4673-8587-9\/16\/31.00 \u00a92016 IEEE.","DOI":"10.1109\/ICPEICES.2016.7853207"},{"key":"2026080511041785988_j_comp-2020-0003_ref_003_w2aab3b7b7b1b6b1ab1ab3Aa","unstructured":"[3] Tabassum J. Kh., M.R.Bhadange, Pooja S. 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