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Yolo11x Falldetect

Developed by leeyunjai
An object detection model based on YOLOv11, specifically designed for fall detection
Downloads 21
Release Time : 10/11/2024

Model Overview

This model is an object detection model based on the YOLOv11 architecture, specifically designed to detect fall behaviors. Suitable for safety alert systems in monitoring scenarios.

Model Features

Fall Detection
Specially optimized capability for detecting fall behaviors
YOLOv11 Architecture
Utilizes the latest YOLOv11 object detection architecture
Real-time Detection
Fast detection capability suitable for real-time monitoring scenarios

Model Capabilities

Fall behavior detection
Real-time object detection
Image analysis

Use Cases

Safety Monitoring
Nursing Home Safety Monitoring
Used to monitor elderly falls and issue timely alerts
Can quickly identify fall behaviors and trigger alarms
Public Space Safety Monitoring
Monitoring accidental fall incidents in public spaces such as shopping malls and hospitals
Improves safety response speed in public spaces
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