PROJECT TITLE:
Intelligent Video Surveillance for Indoor/Outdoor Anomaly Detection and Tracking Using a Swarm of Robots
DESCRIPTION:
This project aims to develop an intelligent video surveillance system to detect indoor/outdoor anomalous events using swarm robots. The specific objectives of this project are:
Development of Formation, Path Planning, and Navigation Controller for Active Swarm Robots
Development of Moving Object Detection and Tracking System based on Swarm Robots
Development of Adaptive Video Surveillance System using Navigation of Swarm Robots
We aim to develop an intelligent management system for environment-adaptive video surveillance using a multi-robot system, a video analysis system, and a remote monitoring system. Figure shows the final goal and application plan of this research project. We developed a system capable of monitoring the whole area by solving the problems of the existing surveillance system through the prior art and operating it in a real environment.
In this study, we establish a formation control for swarm robots to maintain a formation with a certain shape, path planning, and navigation controller to find an optimal path from the initial state to the target state in the first year. Then, we develop a multi-object detection and tracking system in the second year. In the third year, we developed an adaptive video surveillance system using autonomous mobile robots based on the first and second-year technology and developed a scalable video surveillance system to develop a remote monitoring system.
OVERALL PROJECT FRAMEWORK
SKILLS:
Matlab
Matlab-Simulink
RoS(Limited)
Linear Algebra
KEY ROLE:
Expertise in mathematical modeling for NWMRs robot system.
Proficient in implementing leader-follower formation using distributed estimators.
Exceptional ability to handle various control laws (Adaptive, SMC, etc.).
Acquired extensive knowledge in MATLAB-Simulink and RoS (limited).
Successfully achieved the desired formation and attained optimal tracking errors
PROJECT OUTCOMES
Different Desired Formation
Formation-1
Formation-2
RESULTS: Trajectory Tracking
Trajectory Tracking (Result-1)
Trajectory Tracking (Result-2)
RESULTS: Error Tracking
Error Tracking (Leader-Follower)
Error Tracking (Distributed Estimator)