Drone for Dynamic Monitoring and Tracking with Intelligent Image Analysis

Abstract

Traditional monitoring systems that are used in shopping malls or community management, mostly use a remote control to monitor and track specific objects; therefore, it is often impossible to effectively monitor the entire environment. When finding a suspicious person, the tracked object cannot be locked in time for tracking. This research replaces the traditional fixed-point monitor with the intelligent drone and combines the image processing technology and automatic judgment for the movements of the monitored person. This intelligent system can effectively improve the shortcomings of low efficiency and high cost of the traditional monitor system. In this article, we proposed a TIMT (The Intelligent Monitoring and Tracking) algorithm which can make the drone have smart surveillance and tracking capabilities. It combined with Artificial Intelligent (AI) face recognition technology and the OpenPose which is able to monitor the physical movements of multiple people in real time to analyze the meaning of human body movements and to track the monitored intelligently through the remote control interface of the drone. This system is highly agile and could be adjusted immediately to any angle and screen that we monitor. Therefore, the system could find abnormal conditions immediately and track and monitor them automatically. That is the system can immediately detect when someone invades the home or community, and the drone can automatically track the intruder to achieve that the two significant shortcomings of the traditional monitor will be improved. Experimental results show that the intelligent monitoring and tracking drone system has an excellent performance, which not only dramatically reduces the number of monitors and the required equipment but also achieves perfect monitoring and tracking.

Flying Watchdog-Based Guard Patrol with Check Point Data Verification

“…Critical parameters in the pattern of search within this method encompass the size of the search area, the number of patrolling drones, camera positioning, and the behavior of potential intruders. In the context of night-time security and intruder detection, an infrared camera is employed with drones [28]. Furthermore, the study delves into the analysis of human behavior, specifically focusing on gait and even hand movements, by compiling a dataset encompassing diverse walking styles [29].…”