SMART BICYCLE HELMEDSSXCSCCT R&D PPT.pptx

HELMET

1. SMART BICYCLE HELMET WITH INTEGRATED SAFETY FEATURES Dr. N.G.P. INSTITUTE OF TECHNOLOGY (An Autonomous Institution) Coimbatore-48

2. OBJECTIVE: To develop a smart helmet equipped with advanced safety features like alcohol detection, navigation with HUD, fall detection, and traffic signal recognition for enhanced rider safety. MOTIVATION: Improve road safety by integrating technology to prevent accidents, provide real-time navigation, and offer automatic assistance in emergency situations. OUTCOME: A futuristic smart helmet that enhances rider safety and convenience with features such as alcohol alerts, hands-free navigation, fall detection, and synchronized audio-visual guidance.

3. DESIGN OF OUR HELMET

4. METHODOLOGY Alcohol Detection To integrate a breathalyzer into the smart helmet, use an MQ-3 alcohol sensor to detect alcohol levels in the rider’s breath. Connect the sensor to an ESP32 microcontroller, which will monitor the alcohol concentration and compare it to a preset threshold (e.g., 0.08% BAC). If alcohol is detected above the threshold, trigger a buzzer or LED display warning like "Alcohol detected, riding not allowed. " Optionally, use Bluetooth or Wi-Fi to send alerts to a mobile app or prevent the bike from starting. This setup provides a reliable alcohol detection system for rider safety.

5. 2. HUD (Heads-Up Display) For integrating a heads-up display to show navigation maps in the smart helmet, a 0.96-inch OLED display with a resolution of 128x64 pixels is an ideal choice. It supports I2C or SPI interfaces and can be easily connected to a microcontroller like ESP32. This compact, power-efficient OLED screen offers clear visibility even in bright environments, making it perfect for projecting navigation data inside the helmet. The display typically costs between ₹400 and ₹800, depending on the supplier, and provides a lightweight, low-power solution for real-time map displays.

6. METHODOLOGY 3. Fall Detection To implement fall detection in your smart helmet, you can use the MPU6050 sensor, which combines a 3-axis gyroscope and 3-axis accelerometer to monitor changes in movement and orientation. By connecting it to a microcontroller like ESP32 via the I2C interface, the sensor can detect rapid and abnormal shifts that indicate a fall. When a fall is detected, the system can trigger an alert through a buzzer or LED in the helmet, and send a notification via Wi-Fi or Bluetooth to a connected mobile app. The MPU6050 sensor is affordable, costing around ₹160 to ₹400, making it an efficient solution for fall detection and alert systems.

7. METHODOLOGY 4. Cooling Pad To improve rider comfort, a cooling gel pad can be integrated inside the helmet to regulate temperature during long rides. These pads use phase-change materials (PCMs) or cooling gel that absorbs heat and provides a cooling effect. They are thin, flexible, and can be easily attached to the helmet’s inner lining without adding extra weight. The pads are passive, requiring no power, and offer a low-maintenance solution for heat management. Available for around ₹800 to ₹1,600, they are a cost-effective addition to enhance comfort and prevent overheating during use.

8. METHODOLOGY 5. Signal Info To provide real-time audio navigation instructions and signal alerts synced with the HUD map, integrate a text-to-speech (TTS) module with a Bluetooth speaker inside the helmet. Use a camera module and image recognition software to detect traffic signals and their statuses, such as red lights. The navigation system, whether a mobile app or GPS module, will handle route planning and map display. Connect the ESP32 to this system via Bluetooth or Wi-Fi to receive and process route data. The TTS module will convert text directions into spoken instructions and send traffic signal alerts, which are then played through the Bluetooth speaker. This setup ensures that audio directions like "Turn left" or "Coimbatore arrived" and signal warnings like "Red signal, please stop" are synchronized with the HUD map, providing a comprehensive and hands-free navigation experience.

9. CONCLUSION The smart helmet project integrates cutting-edge technologies to significantly enhance rider safety and comfort. By incorporating features such as real-time navigation with a heads-up display, alcohol detection, fall detection, traffic signal alerts, and cooling gel pads, the helmet addresses key safety concerns and improves the overall riding experience. These advanced capabilities, combined with real-time data synchronization and user-friendly alerts, ensure a comprehensive solution for modern cyclists. This innovative approach not only promotes safer riding practices but also sets a new standard in helmet technology.