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Inspiration: The increasing number of crimes during rides and vehicle theft cases inspired me to create a solution that prioritizes both passenger and vehicle safety. I wanted to design a system that not only verifies user identity but also tracks the vehicle in real-time and sends emergency alerts if something unusual happens.
What it does: SafeRide is a smart security system that combines fingerprint authentication, GPS tracking, and emergency alerts. It verifies the driver or passenger using a fingerprint sensor. If an unregistered fingerprint is detected for more than 10 minutes, the system sends an alert notification to the registered user or authorities. It also tracks the vehicle's location using a GPS module, and if the vehicle moves more than 300 meters while it is turned off, a buzzer sounds and a notification is sent instantly. This ensures that any unauthorized movement or access is immediately noticed.
How I built it: I used a fingerprint sensor module (like R307) to scan and verify fingerprints, and a GPS module (NEO-6M) to continuously track the location of the vehicle. A buzzer was added to serve as a physical emergency alarm. These components were integrated using a microcontroller (Arduino or Raspberry Pi), and the logic was coded in C++ or Python. I also developed a timing mechanism to detect prolonged unauthorized fingerprint usage and a distance-checking function to track suspicious vehicle movement. For alerts, I planned SMS or mobile app notifications.
Challenges I ran into: Some of the main challenges included calibrating the fingerprint sensor to avoid false readings, ensuring accurate GPS data especially in crowded or remote areas, and managing real-time notifications without delay. Hardware synchronization and dealing with wiring issues also required a lot of testing and debugging.
Accomplishments that I'm proud of: I successfully created a working prototype that combines multiple technologies for a real-world problem. I’m proud of how the system accurately detects unauthorized use and can help in preventing theft or danger during rides. I also learned how to connect and program multiple components effectively.
What I learned: I learned how to interface biometric sensors and GPS with microcontrollers, how to manage real-time systems, and how to handle security-based logic in embedded systems. It also improved my problem-solving and hardware troubleshooting skills.
What's next for SafeRide: In the future, I plan to develop a connected mobile application for live tracking and push notifications. I also want to add face recognition for added biometric security, integrate a camera for video surveillance, and implement automatic SOS calls to police or emergency contacts. Improving GPS accuracy and integrating cloud storage for alerts and data logs are also part of the roadmap.
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