Earticle

초록

영어

This paper proposes a solution for innovating crime prevention and real-time response through the development of the Smart Drone Police System. The system integrates big data, artificial intelligence (AI), the Internet of Things (IoT), and autonomous drone driving technologies [2][5]. It stores and analyzes crime statistics from the Statistics Office and the Public Prosecutor's Office, as well as real-time data collected by drones, including location, video, and audio, in a cloud-based database [6][7]. By predicting high-risk areas and peak times for crimes, drones autonomously patrol these identified zones using a self-driving algorithm [5][8]. Equipped with video and voice recognition technologies, the drones detect dangerous situations in real-time and recognize threats using deep learning-based analysis, sending immediate alerts to the police control center [3][9]. When necessary, drones form an ad-hoc network to coordinate efforts in tracking suspects and blocking escape routes, providing crucial support for police dispatch and arrest operations [2][11]. To ensure sustained operation, solar and wireless charging technologies were introduced, enabling prolonged patrols that reduce operational costs while maintaining continuous surveillance and crime prevention [8][10]. Research confirms that the Smart Drone Police System is significantly more cost-effective than CCTV or patrol car-based systems, showing a 40% improvement in real-time response speed and a 25% increase in crime prevention effectiveness over traditional CCTV setups [1][2][14]. This system addresses police staffing shortages and contributes to building safer urban environments by enhancing response times and crime prevention capabilities [4].

목차

Abstract
1. Introduction
2. Main Body
3. Implications of Smart Drone Policing
4. Conclusion
References

키워드

Intelligent Police Drone Big Data Analysis Artificial Intelligence (AI) Autonomous Driving Drone Realtime Surveillance and Response Deep Learning Image Recognition Internet of Things (IoT) Solar and Wireless Charging Crime Prevention Technology Public Safety System Drone Network Autonomous Patrol System Real-time Data Processing Voice and Image Recognition Ad-hoc Network

저자

• Heo Jun [ Adjunct Assistant Professor, Department of Information Technology Convergence, Dong Seoul University ] Corresponding Author

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