An intelligent safety glove system designed to protect industrial workers by identifying environmental and physical hazards in real-time. Uses AI, embedded sensors, and cloud analytics for comprehensive workplace safety monitoring.
- Real-time hazard detection: gas leaks, high temperature, heavy lifting, dangerous falls
- Immediate alerts via vibration motor and LED indicators
- Automated email alerts to emergency contacts via SMTP
- Four types of fall detection: Free Fall, Impact Fall, Normal Fall, Unconscious Fall
- Firebase Realtime Database integration with 5-second data logging
- Machine learning risk classification (0-10 scale) via Google Colab
- CSV data export for analytics and model training
Sensors:
- LM35 Temperature Sensor
- MQ-2 Gas Sensor (smoke/toxic gas detection)
- MPU6050 Accelerometer and Gyroscope (fall detection)
- Custom Force Sensor (optical-based overload detection)
Actuators:
- Vibration Motor (haptic feedback)
- LED Indicators (visual alerts)
- LabVIEW - Main control system for data acquisition and processing
- Arduino IDE - Accelerometer data transmission programming
- NI DAQ - Analog sensor interfacing
- Python - Data filtering and Firebase integration
- Google Colab - Machine learning model training
- Firebase Realtime Database - Cloud data storage
- SMTP - Automated email alert system
- Real-time Monitoring: LabVIEW reads sensor data from NI DAQ and Arduino
- Threshold Analysis: Case structures and OR gates check hazard conditions
- Alert System: Vibration motor and LEDs activate for immediate warnings
- Emergency Notification: Email alerts sent to family/emergency contacts
- Data Logging: Sensor data uploaded to Firebase every 5 seconds in JSON format
- ML Analysis: CSV files generated for machine learning risk classification
- High Temperature Exposure
- Toxic Gas Detection
- Heavy Load Lifting
- Fall Detection with Unconsciousness Monitoring
- Predictive Risk Assessment (0-10 scale)
- Construction Sites
- Chemical Factories
- Mining Operations
- Heavy Manufacturing Units
- Thiruvarankan Mathurakaran
- Thineth Sadeepa
- Mathusayini Thayalanesan
MIT License