An Ai Approach To Human Non-movement Analysis

Abstract

This Paper Presents An AI-based Human Non-Movement Detection System Designed For Real-time Monitoring And Safety Applications. Traditional Systems Mainly Focus On Motion Detection And Fail To Identify Prolonged Inactivity, Which May Indicate Critical Situations. The Proposed System Uses YOLO For Human Detection And OpenCV For Frame Processing. It Continuously Analyzes Movement And Detects Inactivity Based On Predefined Time Thresholds. When Abnormal Stillness Is Detected, The System Generates Alerts Through Sound And Telegram Notifications. The System Is Efficient, Automated, And Suitable For Healthcare, Surveillance, And Workplace Safety Applications.

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