Please use this identifier to cite or link to this item: https://elib.vku.udn.vn/handle/123456789/2698
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dc.contributor.authorDoan, Trung Son-
dc.contributor.authorNguyen, Thi Khanh Tram-
dc.contributor.authorVo, Thai Anh-
dc.date.accessioned2023-09-25T07:57:26Z-
dc.date.available2023-09-25T07:57:26Z-
dc.date.issued2023-06-
dc.identifier.isbn978-604-80-8083-9-
dc.identifier.urihttp://elib.vku.udn.vn/handle/123456789/2698-
dc.descriptionProceeding of The 12th Conference on Information Technology and It's Applications (CITA 2023); pp: 65-77.vi_VN
dc.description.abstractToday, the crime rate due to the use of hot weapons is very high, early detection of possible violent situations is extremely important for security. One way to prevent these situations is by detecting the presence of dangerous objects in surveillance video. Current surveillance systems still require human supervision, are low-precision and costly. AI (Artificial Intelligence) technology is being used in almost all sectors of society. Recently, the Smart Camera application that uses Artificial Intelligence to solve complex problems is increasingly popular. This paper focuses on improving the performance of Surveillance Cameras to detect pistol in both accuracy and diversity by using YOLO -V5, V7, V8 models.vi_VN
dc.language.isoenvi_VN
dc.publisherVietnam-Korea University of Information and Communication Technologyvi_VN
dc.relation.ispartofseriesCITA;-
dc.subjectHot Weaponvi_VN
dc.subjectPistol Detectionvi_VN
dc.subjectYOLO-V5vi_VN
dc.subjectYOLO-V7vi_VN
dc.subjectYOLO-V8vi_VN
dc.titleWeapon Detection with YOLO Model Version 5, 7, 8vi_VN
dc.typeWorking Papervi_VN
Appears in Collections:CITA 2023 (National)

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