Dynamic Motion Detection Estimation: A Web-Based Real-Time Surveillance System Using Computer Vision
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Dynamic Motion Detection Estimation: A Web-Based Real-Time Surveillance System Using Computer Vision
Authors:
Abhishek Basavaraj Umshette, Monika Shinde
1Abhishek Basavraj UmshetteMaster of Computer Application&Trinity Academy of Engineering
2Monika ShindeMaster of Computer Application & Trinity Academy of Engineering
Abstract -This paper presents a web-based Dynamic Motion Detection Estimation system designed to enhance real-time surveillance through automated motion tracking, activity logging, and visual analytics. Built using TypeScript, React, and Tailwind CSS, the system integrates live camera feeds, motion detection algorithms, and secure user authentication to improve situational awareness in security-sensitive environments. Key features include real-time motion alerts, dynamic charts for activity patterns, and role-based access control. Testing results demonstrate high accuracy in motion detection (100% pass rate in test cases) and seamless integration of modules. The system's scalability and responsiveness address limitations of traditional surveillance methods, offering a cost-effective solution for industries, smart facilities, and public safety applications.
Key Words:Motion detection, Real-time analytics, Computer vision, Surveillance, React, TypeScript.