A comprehensive fall detection system designed for elderly care, combining hardware sensors with software applications to provide real-time monitoring and emergency response capabilities.
- Real-time Fall Detection: Continuous monitoring using accelerometer data to detect sudden falls
- GPS Location Tracking: Accurate positioning information for emergency response
- Desktop Monitoring Application: User-friendly interface for caregivers and family members
- Web API Integration: RESTful API for data management and communication
- Emergency Alerts: Automatic notifications when a fall is detected
- Data Logging: Historical data storage and analysis capabilities
- MPU6050: 6-axis accelerometer and gyroscope sensor for motion detection
- ESP32 TTGO T-Beam: GPS module with built-in LoRa capabilities for location tracking
- Arduino: Firmware development for sensor data collection and processing
- C# WPF: Desktop application for monitoring and management interface
- C# Web API: Backend service for data handling and communication
- .NET Framework: Core development platform for software components
The system consists of three main components:
- Hardware Layer: Sensor modules for data collection
- Desktop Application: Real-time monitoring and control interface
- Web API: Data processing and communication backend