Abstract
As drone attracts much interest, the drone industry has opened their market to ordinary people, making drones to be used in daily lives. However, as it got easier for drone to be used by more people, safety and security issues have raised as accidents are much more likely to happen: colliding into people by losing control or invading secured properties. For safety purposes, it is essential for observers and drone to be aware of an approaching drone. In this paper, we introduce a comprehensive drone detection system based on machine learning. This system is designed to be operable on drones with camera. Based on the camera images, the system deduces location on image and vendor model of drone based on machine classification. The system is actually built with OpenCV library. We collected drone imagery and information for learning process. The system's output shows about 89 percent accuracy.
| Original language | English |
|---|---|
| Title of host publication | 9th International Conference on Information and Communication Technology Convergence |
| Subtitle of host publication | ICT Convergence Powered by Smart Intelligence, ICTC 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1131-1133 |
| Number of pages | 3 |
| ISBN (Electronic) | 9781538650400 |
| DOIs | |
| Publication status | Published - 2018 Nov 16 |
| Event | 9th International Conference on Information and Communication Technology Convergence, ICTC 2018 - Jeju Island, Korea, Republic of Duration: 2018 Oct 17 → 2018 Oct 19 |
Other
| Other | 9th International Conference on Information and Communication Technology Convergence, ICTC 2018 |
|---|---|
| Country | Korea, Republic of |
| City | Jeju Island |
| Period | 18/10/17 → 18/10/19 |
Keywords
- artificial intelligence
- classifier
- deep learning
- detection
- image processing
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Information Systems
- Information Systems and Management
- Artificial Intelligence