Inspiration
Health emergencies such as sudden falls, high body temperature, or accidents can occur anytime, especially for elderly people, industrial workers, and individuals working in isolated environments. Delay in emergency response can lead to serious consequences or even loss of life.
We wanted to design a low-cost, intelligent wearable system that can automatically detect such emergency situations and instantly notify caregivers with real-time location information.
What it does
AI Emergency Wearable is a smart safety device that continuously monitors body temperature and detects fall events using motion sensors.
When an abnormal condition is detected, the device automatically triggers an emergency alert, activates a buzzer, and sends the user’s live GPS location to predefined contacts via SMS or internet notifications.
This ensures faster emergency response and improves personal safety in real-world situations.
How we built it
The system is built using an ESP32 microcontroller integrated with an MPU6050 accelerometer and gyroscope for fall detection, a temperature sensor for health monitoring, and a GPS module for real-time location tracking.
AI-based decision logic processes sensor data to identify abnormal patterns such as sudden impact followed by inactivity or high temperature conditions.
Upon detecting an emergency, the ESP32 communicates through GSM or Wi-Fi to send alerts and location data to caregivers.
Challenges we ran into
Accurate fall detection without false alerts
Managing power consumption for wearable usage
Integrating multiple sensors with real-time processing
Ensuring reliable GPS signal in indoor environments
Optimizing alert latency for faster emergency response
Accomplishments that we're proud of
Developed a fully functional AI-enabled wearable safety prototype
Achieved real-time fall detection and emergency alert system
Successfully implemented live GPS tracking and notification system
Designed a scalable solution suitable for elderly care, worker safety, and trekking use cases
What we learned
Sensor fusion and embedded AI decision making
Real-time IoT communication and alert mechanisms
Hardware-software integration in safety-critical systems
Importance of human-centric design in wearable technology
What's next for AI Emergency Wearable
Heart rate and SpO₂ monitoring integration
Cloud-based AI health prediction model
Mobile application with real-time dashboard
Voice-activated SOS feature
Miniaturized PCB design for commercial wearable deployment
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