Senior Design Project 2024
LocIT, short for "Location Integrated Tracker," is a wearable safety device designed to enhance the security and monitoring of vulnerable individuals, such as children and elderly users. This project addresses real-world safety concerns with an innovative combination of hardware and software, offering real-time location tracking, facial recognition, geofencing, and more.
- GPS Location Tracking: Accurate updates every 30 seconds with a 3-foot precision.
- Temperature Monitoring: Prevents device overheating by triggering shutdowns of non-essential components.
- Vibrating Alerts: Provides real-time notifications for geofence breaches or caregiver messages.
- Gyroscope and Accelerometer: Detects sudden movements or falls, notifying caregivers instantly.
- Facial Recognition: Identifies individuals near the wearer for added safety insights.
- Geofencing: Sends alerts when the user exits predefined safe zones.
- Companion App: Supports live tracking, notifications, and settings customization via FlutterFlow.
- Sensors Subsystem: Includes GPS, temperature, battery monitor, accelerometer, and gyroscope.
- Actuators Subsystem: Utilizes a vibration motor for silent notifications.
- Communications Subsystem: Transfers data securely via MQTT to AWS IoT Core and DynamoDB.
- Power Subsystem: Powered by a rechargeable LiPoly battery with over 24 hours of operation.
- Central Processing Unit: Raspberry Pi Zero 2 W for managing data, algorithms, and communication.
- Python-based main algorithm managing data collection, device state, and communication.
- AWS integration for real-time data storage and retrieval. Backend-Webserver
- Companion app (FlutterFlow) for monitoring and control.
- Constructed from PLA filament with 2 mm thickness for strength and durability.
- Compact dimensions: 2 inches wide, 4 inches long, and 2 inches deep.
- Three lid variations:
- No Slots Lid: For fully enclosed design.
- 4 Vents Lid: Balanced ventilation and enclosure.
- 9 Vents Lid: Maximum cooling for high-temperature environments.
- High Accuracy: GPS provides precise location tracking within a 3-foot radius.
- Reliable Notifications: Geofence breaches and fall detection alerts are delivered promptly.
- Extended Usability: Optimized power management ensures operation over a full day.
Future enhancements include:
- Advanced facial recognition models for diverse conditions.
- Improved companion app usability with push notifications.
- Additional sensors for expanded functionality (e.g., heart rate monitoring).
Visit the LocIT GitHub Repository for source code, hardware schematics, and additional documentation.
This project is licensed under a custom license. Redistribution, modification, or commercial use is restricted without explicit permission from the contributors. See the LICENSE file for more details.
- Anindita Deb (dita-deb)
- Zachary Ponder (ponder-zachary)
- Avery Porter (Averyp119)
- Damisi Kayode (DamisiKayode0312)
Special thanks to Professor Jeffrey L. Yiin at Kennesaw State University for guidance and mentorship throughout the project.
LocIT: Bringing peace of mind to caregivers while ensuring the safety of their loved ones.