Abstract:
This project presents a comprehensive, IoT-integrated vehicle monitoring and alert system designed
to enhance road safety and driver assistance through real-time data processing and non-blocking,
responsive mechanisms. Utilizing a combination of sensors, the system continuously monitors potential obstacles, crash events and vehicle location. An ultrasonic sensor dynamically tracks distances
to nearby objects, alerting the driver in cases of close proximity to enhance collision prevention. Additionally, a crash sensor promptly detects accidents, triggering immediate handling routines while
simultaneously allowing ongoing monitoring of other system functions.
The system leverages Firebase for cloud-based data storage, facilitating seamless data retrieval and
communication across devices. Key features include RFID-based vehicle location identification,
enabling precise and automated selection of a vehicle’s current location, remote crash alerts and
real-time vehicle diagnostics accessible via Bluetooth commands. An LCD interface enhances user
interaction, displaying status updates and notifications, while the system architecture incorporates
non-blocking delay functions to ensure high responsiveness and concurrent operation of multiple
sensors.
Overall, this project combines robust IoT infrastructure with real-time data handling to create a responsive and reliable vehicle monitoring system that aims to improve driver safety and support preventive measures against road incidents. This smart vehicle system not only exemplifies an efficient
use of IoT in transportation but also offers a scalable solution adaptable for future advancements in
automotive safety and automation.
