Yolo11x Falldetect
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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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