AR-SafeHelmet: Enhancing Motorcycle Safety Through Augmented Reality and Sensor Integration

AR-SafeHelmet: Enhancing Motorcycle Safety Through Augmented Reality and Sensor Integration

Faisal Imtiaz1, Debayan Maitra2, Sumanta Chatterjee3, Soumojit Dasgupta4, Anirban Ghosal5

1UG Student, Dept. of CSE, JIS College of Engineering, Kalyani, Nadia, WB, India.

2UG Student. Dept. of CSE, JIS College of Engineering, Kalyani, Nadia, WB, India.

3Asst. Professor, Dept. of CSE, JIS College of Engineering, Kalyani, Nadia, WB, India.

4Asst. Professor, Dept. of ME, JIS College of Engineering, Kalyani, Nadia, WB, India.

5Asst. Professor, Dept. of ECE, JIS College of Engineering, Kalyani, Nadia, WB, India.

Abstract - In this article, a design and the development of an Augmented-Reality (AR)-based Smart Helmet system is proposed to enhance the safety and health level of motorcycle riders. The helmet is equipped with several sensing units, such as an MQ-3 alcohol sensor for breath alcohol concentration measurement, a Photoplethysmography (PPG) sensor for the measurement of heart rate, and an Inertial Measurement Unit (IMU) for crash or fall detection. An ESP32 microcontroller onboard processes real-time sensor data, and a Raspberry Pi 3 B+ processes the data. and sends alerts to an AR visor, readable by a rider without ever having to take their eye off the road. The helmet incorporates an intelligent ignition interlock system, which prevents it from starting when the rider is detected as drunk and sends wireless crash notifications via Bluetooth/Wi-Fi to a phone. Test reports indicate that it is capable of detecting alcohol intoxication, abnormal heart rate , and shock incidents with high accuracy. This integrated approach of combining safety enforcement, health monitoring, and real-time AR feedback is an interesting solution to reduce motorcycle cruising accidents.

Keywords: AR Helmet, Alcohol Detection, Biometric Monitoring, Crash Detection, Smart Interlock, IoT, PPG Sensor, Rider Safety