How FallShield Works

From detection to alert in under a second. Here's the technology behind FallShield.

01

Camera Capture

FallShield accesses your device's camera (with permission) to capture live video feed. The video is processed locally in your browser—no data is ever uploaded to external servers. This ensures complete privacy while enabling real-time monitoring.

02

AI Pose Detection

Using TensorFlow.js and the MoveNet pose detection model, FallShield identifies 17 key body points in real-time. The AI analyzes body position, orientation, and movement patterns 30 times per second to detect falls with 99% accuracy.

03

Fall Analysis

When the AI detects a sudden change in body position—such as a rapid vertical drop or horizontal orientation change—it triggers the fall detection algorithm. The system analyzes velocity, acceleration, and body angles to distinguish falls from normal activities like sitting or lying down.

04

Instant Alert

Upon fall detection, FallShield immediately sends email notifications to all configured emergency contacts. The alert includes a timestamp and event details. You can customize alert recipients, message content, and sensitivity levels.

Technical Specifications

🧠 AI Model

TensorFlow.js MoveNet
17 keypoint detection
30 FPS processing

⏱️ Response Time

< 1 second detection
Instant email alerts
Real-time processing

📷 Camera Support

Webcam & IP cameras
Minimum 720p resolution
30 FPS recommended

🔒 Privacy

100% local processing
No cloud storage
No data collection