Please use this identifier to cite or link to this item:
https://elib.vku.udn.vn/handle/123456789/3830
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Vương, Công Đạt | - |
dc.contributor.author | Trần, Văn Thanh | - |
dc.contributor.author | Trần, Huỳnh Anh Nhật | - |
dc.contributor.author | Nguyễn, Văn Quý | - |
dc.contributor.author | Nguyễn, Trọng Tài | - |
dc.date.accessioned | 2024-06-17T09:24:13Z | - |
dc.date.available | 2024-06-17T09:24:13Z | - |
dc.date.issued | 2024-06 | - |
dc.identifier.uri | https://elib.vku.udn.vn/handle/123456789/3830 | - |
dc.description | Kỷ yếu Nghiên cứu khoa học của sinh viên Trường Đại học Công nghệ Thông tin và Truyền thông Việt - Hàn năm học 2023-2024; trang 52-57 | vi_VN |
dc.description.abstract | Timely fire detection and warning plays an extremely important role in protecting safety and minimizing damage to people. However, current approaches, based on the use of temperature sensors and smoke sensors, have notable limitations. In particular, thismethod often only detects and warns when the fire situation has spread and become serious. To overcome these limitations, it is necessary to look for new, more creative and advanced approaches. One of the potential approaches is to use smart technologies and systems, such as artificial intelligence (AI) and Internet of Things (IoT), to improve early fire detection and warning capabilities | vi_VN |
dc.language.iso | en | vi_VN |
dc.publisher | Trường Đại học Công nghệ Thông tin và Truyền thông Việt-Hàn | vi_VN |
dc.relation.ispartofseries | NCKHSV; | - |
dc.subject | Internet of Things | vi_VN |
dc.subject | GPS | vi_VN |
dc.subject | Fire alarm system | vi_VN |
dc.subject | fire | vi_VN |
dc.subject | Computer vision | vi_VN |
dc.title | Hệ thống báo cháy dựa trên camera – tích hợp GPS | vi_VN |
dc.type | Working Paper | vi_VN |
Appears in Collections: | SV NCKH Năm học 2023-2024 |
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