Please use this identifier to cite or link to this item:
https://elib.vku.udn.vn/handle/123456789/2698| Title: | Weapon Detection with YOLO Model Version 5, 7, 8 |
| Authors: | Doan, Trung Son Nguyen, Thi Khanh Tram Vo, Thai Anh |
| Keywords: | Hot Weapon Pistol Detection YOLO-V5 YOLO-V7 YOLO-V8 |
| Issue Date: | Jun-2023 |
| Publisher: | Vietnam-Korea University of Information and Communication Technology |
| Series/Report no.: | CITA; |
| Abstract: | Today, 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. |
| Description: | Proceeding of The 12th Conference on Information Technology and It's Applications (CITA 2023); pp: 65-77. |
| URI: | http://elib.vku.udn.vn/handle/123456789/2698 |
| ISBN: | 978-604-80-8083-9 |
| Appears in Collections: | CITA 2023 (National) |
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