fall detection

Fall Detection System for Elderly Safety

Problem Statement

Falls are one of the most serious health risks for elderly individuals, often leading to severe injuries, loss of independence, or delayed medical assistance. Continuous manual monitoring is not always possible, especially for seniors living alone. Therefore, an automated and reliable fall detection system is essential to ensure timely intervention and improve safety.

Project Objective

Detect fall events accurately in real time.

Distinguish between normal daily activities and dangerous falls.

Automatically trigger an alarm when a fall is detected.

Enable rapid response to reduce injury severity and medical complications.

System Overview

The fall detection system continuously monitors human movement using sensor data and/or visual inputs. A machine learning model analyzes motion patterns to identify abnormal behaviors that indicate a fall. Once a fall is detected, the system immediately activates an alert mechanism to notify caregivers or family members.