Reliable Shuffling Number Pad for Vehicle Lock System Using Touch Screen

Abstract

The rapid growth of urbanization and vehicle usage has heightened concerns regarding road safety and vehicle theft, posing significant challenges for both individuals and authorities. Addressing these issues, the Puzzle Lock System for Vehicle Safety integrates innovative biometric access control, accident detection, and real-time alert systems to ensure enhanced security and safety. This project employs a Raspberry Pi at its core, coupled with components such as fingerprint sensors, vibration sensors, GSM modules, and a touch display, to create a multi-functional and reliable solution. The system restricts vehicle access to authorized users through fingerprint recognition, while an intelligent accident detection module monitors and alerts emergency contacts in real time during critical situations using vibration sensors and gyroscopic data. Toggling numbers on a touch screen refers to the ability to change or switch between numbers when a user interacts with the screen. For example, when you tap a button, the number displayed could increase, decrease, or switch between different values. The goal is to make it easy for users to interact with the touch screen by simply tapping to change the displayed number or value. A theft prevention mechanism captures and communicates unauthorized access attempts using onboard cameras and notifies the owner via GSM modules, allowing location tracking and immediate action. A theft prevention mechanism captures and communicates unauthorized access attempts using onboard cameras and notifies the owner via GSM and GPS modules, allowing location tracking and immediate action. The project also integrates an IR-based collision detection feature to assess proximity during crashes, further enhancing safety measures. Developed with a focus on affordability, efficiency, and practicality, the proposed system ensures robust vehicle security and addresses limitations in existing solutions, such as privacy concerns with camera-based methods or dependency on single-mode alerts. Test results demonstrate the system’s high accuracy in access control, prompt response during accidents, and ease of operation, paving the way for an advanced, user-friendly approach to vehicle safety in modern urban environments.

Introduction

The Puzzle Lock System for Vehicle Safety is a comprehensive and innovative solution designed to address the increasing challenges of vehicle theft, accidents, and driver safety. It integrates biometric access, real-time alert systems, and smart sensors to provide a multi-functional, cost-effective, and secure vehicle management system.

1. Background and Need

• Rising vehicle thefts and road accidents necessitate a more robust security solution.

• Traditional systems like manual locks and basic alarms are ineffective against sophisticated threats.

• Existing camera- or algorithm-based systems suffer from privacy concerns, false alerts, and network dependency.

2. System Features and Components

The system combines hardware and software to deliver full-spectrum protection:

• Biometric Access: Uses a fingerprint scanner to allow only authorized access, replacing traditional keys.

• Accident Detection: Vibration and MEMS sensors detect crashes, rollovers, and abnormal motion.

• Collision Prevention: IR sensors detect nearby obstacles and issue alerts to avoid collisions.

• Real-time Alerts: A GSM module sends SMS and emails with GPS coordinates during accidents or unauthorized access.

• Intrusion Detection: A web camera captures and sends intruder images to the owner.

• Audible Alerts: A buzzer sounds during threats or collisions.

• User Interface: A touchscreen display shows system status, alerts, and authentication prompts.

• Central Control: All components are managed by a Raspberry Pi running Python-based software for real-time responses.

3. Workflow

• Startup: Raspberry Pi initializes and activates the fingerprint sensor.

• Access Attempt: If fingerprint matches, vehicle unlocks. If not, camera captures the intruder and alerts are sent.

• Monitoring: Sensors constantly track movement, collisions, and proximity.

• Emergency Response: On detecting an accident, the system sends GPS and image data to emergency contacts.

4. Implementation Process

• All hardware (fingerprint sensor, camera, GPS, GSM, buzzer, sensors) is wired to the Raspberry Pi.

• Python scripts process input data and trigger appropriate actions.

• The system was rigorously tested in multiple phases:

  • Phase 1: Simulated in TinkerCAD to test logic and design.

  • Phase 2: Keypad-based input tested with correct/incorrect password validation.

  • Phase 3: Added motor to simulate vehicle movement based on authentication.

  • Phase 4: Integrated touchscreen with shuffling keypad and alcohol sensor.

  • Phase 5: Final integration with full features and tested real-time alert systems.

5. Comparison with Existing Methods

• Camera-based systems: Pose privacy issues, are susceptible to spoofing, and need constant power/network.

• Smart helmets: Only useful if worn; not universally applicable.

• Standalone sensors: Prone to false alarms and lack integration.

• The Puzzle Lock System solves these gaps by offering:

  • Non-intrusive, biometric-based authentication.

  • Accurate, multi-sensor accident detection.

  • Modular, network-independent, and privacy-respecting architecture.

6. Advantages

• Enhanced security via biometrics.

• Quick emergency response with live GPS and image alerts.

• Privacy-preserving compared to camera monitoring.

• Accurate accident detection with minimal false positives.

• Cost-effective using open-source tech (Raspberry Pi, Python).

• Real-time communication via GSM and GPS.

• Customizable and scalable for future applications.

Conclusion

The Puzzle Lock System for Vehicle Safety is a groundbreaking initiative designed to tackle the critical issues of vehicle theft and road safety, particularly accidents caused by drunk driving. The project successfully integrates multiple technologies, such as a dynamic password-protected ignition system, touch screen interface with number shuffling, and alcohol detection sensors, to create a robust security mechanism. The phased approach in development, starting with simulation in Tinker CAD and progressing to physical implementation with advanced features, ensured meticulous testing and validation at every stage, resulting in a system that is not only functional but also highly reliable. This system showcases the potential of embedded systems in addressing real-world problems, offering a comprehensive and innovative solution. The integration of GSM technology for notifications enhances the system\'s usability by keeping the owner informed of unauthorized access attempts or critical safety events. Moreover, the use of Python programming enables seamless interaction between hardware components, allowing for efficient processing and control. The alcohol detection mechanism, in particular, stands out as a vital feature that directly contributes to reducing accidents caused by impaired driving. The project\'s significance extends beyond its technical accomplishments. It highlights the importance of creating accessible, user-friendly solutions that can adapt to diverse environments, from personal vehicles to commercial applications. Its scalability opens doors for implementation in larger systems, such as fleet management and public transportation. Additionally, the system aligns with global safety initiatives, making it a timely and relevant contribution to the field of automotive security. Looking forward, the project lays a solid foundation for future advancements in smart vehicle systems. Features like biometric authentication, AI-driven safety analysis, and integration with IoT-enabled infrastructures can further enhance its capabilities. By addressing both current challenges and anticipating future needs, this system represents a significant step towards smarter, safer, and more secure transportation solutions. In conclusion, the Puzzle Lock System for Vehicle Safety is not only a testament to the team’s technical expertise and innovative approach but also a valuable contribution to the advancement of vehicle safety technology.

References

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Copyright

Copyright © 2025 Panjavarnam B, Sivaranjani R, Jayashree G, Lavanya G, Thrisha S. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.