Pay Safe

Circuit
Charts
Interactive Maps
Hardware schematic

Inspiration

PaySafe was born from a simple question: why not make driving safely something rewarding? Every day, thousands of accidents happen because of careless or distracted driving. Instead of punishing bad behavior, we wanted to encourage good driving habits through positive reinforcement. That’s how PaySafe came to life — a system that detects how you drive and gives you points when you drive responsibly. We were inspired by ARM’s development philosophy, which shows how efficient, low-power systems can transform real-world data into meaningful solutions.

What it does

PaySafe is a smart IoT device that monitors your driving behavior in real time. Using motion and acceleration sensors, it detects hard braking, impacts, and sudden movements — then sends the data to the server to calculate a driving safety score. The better you drive, the more points you earn — and those points can be redeemed for rewards or discounts.

How we built it

We combined hardware, software, and teamwork to bring PaySafe to life. Hardware: ESP32 microcontroller for control and Wi-Fi communication. MPU6050 sensor to measure motion and acceleration. DS3231 RTC module to precisely timestamp every event. Software: Firmware coded in C++ (Arduino IDE) using libraries like WiFi.h, HTTPClient.h, and ArduinoJson. Data is sent as JSON to a cloud server for processing and linked to a user profile. We followed ARM’s modular development approach to keep the system scalable and maintainable.

Challenges we ran into

Every innovation comes with its challenges — and we faced quite a few: Getting stable readings from the sensor without excessive noise. Maintaining Wi-Fi connectivity during motion. Synchronizing timestamps accurately with the RTC. Making all hardware and software components work smoothly together. Each challenge taught us something valuable and pushed us to refine our design.

Accomplishments that we're proud of

Built a fully functional prototype that measures and transmits real driving data. Designed an automatic reward system that encourages safe driving habits. Applied embedded development methodologies professionally, following ARM’s principles. Most importantly, created a project with real social and safety impact.

What we learned

We learned a lot about systems, IoT communication, and how to plan a project from start to finish. But beyond the technical lessons, we discovered how technology can make a real difference when it’s aimed at helping people. This project showed us how engineering and social purpose can go hand in hand.

What's next for Pay Safe

We’re already thinking about what’s next: Adding GPS tracking to analyze routes and risk zones. Integrating machine learning to detect dangerous driving patterns. Developing a mobile app to track progress and manage rewards. Partnering with insurance companies and local governments to test it in real conditions.