Knowledge Resource Center for Ecological Environment in Arid Area
Intelligent Border Security Intrusion Detection using IoT and Embedded systems | |
ALshukri, Dawoud1; Lavanya, Vidhya R.2; Sumesh, E. P.3; Krishnan, Pooja4 | |
通讯作者 | ALshukri, Dawoud |
会议名称 | 4th MEC International Conference on Big Data and Smart City (ICBDSC) |
会议日期 | JAN 15-16, 2019 |
会议地点 | Muscat, OMAN |
英文摘要 | Border areas are generally considered as places where great deal of violence, intrusion and cohesion between several parties happens. This often led to danger for the life of employees, soldiers and common man working or living in border areas. Further geographical conditions like mountains, snow, forest, deserts, harsh weather and water bodies often lead to difficult access and monitoring of border areas. Proposed system uses thermal imaging camera (FLIR) for detection of various objects and infiltrators. FLIR is assigned an IP address and connected through local network to the control center. Software code captures video and subsequently the intrusion detection. A motor controlled spotlight with infrared and laser gun is used to illuminate under various conditions at the site. System also integrates sound sensor to detect specific sounds and motion sensors to sense suspicious movements. Based on the decision, a buzzer and electric current through fence for further protection can be initiated. Sensors are be integrated through IoT for an efficient control of large border area and connectivity between sites. |
英文关键词 | Internet of things Raspberry Pi FLIR |
来源出版物 | 2019 4TH MEC INTERNATIONAL CONFERENCE ON BIG DATA AND SMART CITY (ICBDSC) |
出版年 | 2019 |
页码 | 178-180 |
EISBN | 978-1-5386-8046-9 |
出版者 | IEEE |
类型 | Proceedings Paper |
语种 | 英语 |
国家 | Oman |
收录类别 | CPCI-S |
WOS记录号 | WOS:000469429600034 |
WOS类目 | Computer Science, Information Systems |
WOS研究方向 | Computer Science |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/308134 |
作者单位 | 1.Middle East Coll, Ctr PG Studies, Muscat, Oman; 2.Middle East Coll, Dept Math & Apllied Sci, Muscat, Oman; 3.Middle East Coll, Dept Elect & Commun Engn, Muscat, Oman; 4.Middle East Coll, Student Success Ctr, Muscat, Oman |
推荐引用方式 GB/T 7714 | ALshukri, Dawoud,Lavanya, Vidhya R.,Sumesh, E. P.,et al. Intelligent Border Security Intrusion Detection using IoT and Embedded systems[C]:IEEE,2019:178-180. |
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