"The Smart Way to Drive"
The Smart Vehicle Tracking and Management System leverages cutting-edge IoT and sensor technologies to enhance vehicle safety and operational efficiency. It integrates real-time tracking, accident detection, and notifications for unauthorized disconnections, ensuring comprehensive vehicle and cargo management. Combining GPS, GSM, accelerometer, and cloud solutions, the system addresses critical challenges in the transportation sector.
- Real-Time Vehicle Tracking: Monitor vehicle locations with precision.
- Accident Detection: Instantly alerts administrators in the event of an accident.
- Unauthorized Disconnection Alerts: Notifies on tampering or unauthorized device disconnections.
- Environmental Monitoring: Tracks cargo temperature and humidity.
- Administrative Control: Features an admin panel for efficient vehicle and data management.
Current vehicle management systems often lack affordable, comprehensive solutions for real-time tracking and operational management. This project bridges that gap, improving safety, efficiency, and decision-making for fleet operations.
The system is built around a robust combination of hardware and software:
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Accelerometer Sensor
Detects sudden acceleration changes, assisting in accident detection. -
Tamper Sensor
(Replace with the actual image)
Triggers alerts for unauthorized device disconnections. -
Humidity and Temperature Sensors
Monitors cargo conditions to ensure optimal environmental settings. -
ESP32 Microcontroller
Handles communication and data processing. -
Raspberry Pi
Serves as an edge computing device for aggregating and processing data.
Data generated by sensors is securely transmitted to the AWS cloud, processed in real-time, and displayed on an intuitive admin dashboard.
- Communication Protocols: Wi-Fi, GSM, LoRaWAN
- Cloud Solutions: AWS IoT Core, S3, and EC2
- Visualization: Real-time dashboards with alerts and key metrics
- Enhance driver and vehicle safety
- Improve cargo management and operational oversight
- Provide actionable insights through data-driven analysis
- Data Collection: Sensors gather real-time data such as location, speed, and environmental conditions.
- Data Transmission: Data is securely sent to the AWS cloud.
- Processing & Storage: Real-time and historical data processing is handled in the cloud.
- Visualization & Alerts: Admin dashboards display actionable insights and send alerts for anomalies.
Item | Quantity | Cost per Unit | Total Cost |
---|---|---|---|
Raspberry PI | 1 | $20 | $20 |
GPS Sensor | 1 | $3 | $3 |
Accelerometer Sensor | 1 | $1 | $1 |
Tamper Sensor | 1 | $1 | $1 |
Speed Monitoring Sensor | 1 | $2 | $2 |
Humidity Sensor | 1 | $0.5 | $0.5 |
Temperature Sensor | 1 | $0.5 | $0.5 |
SIM800 GSM Module | 1 | $3 | $3 |
LoRa Module | 1 | $7 | $7 |
ESP32 Microcontroller | 1 | $2 | $2 |
Miscellaneous Items (Wires, PCB, etc.) | N/A | $2 | $3 |
- Hardware Subtotal per unit: $43
- Data Security: End-to-end encryption for data transmission and storage.
- Access Control: AWS IAM ensures role-based access.
- Secure APIs: Prevent unauthorized data breaches.
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Team Members:
- Niroshan B.G.L (E/20/272) - e20272@end.pdn.ac.lk
- Wijesooriya M.L (E/20/447) - e20447@end.pdn.ac.lk
- Dulaj U.P.S.D (E/20/456) - e20456@end.pdn.ac.lk
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Supervisor:
- Dr. Isuru Nawinne
(Specify the license under which your project is distributed, e.g., MIT License)
- GitHub Repository: Smart Vehicle Tracking and Management System
- GitHub Pages: Smart Vehicle Tracking and Management System Website