Vehicle Helmet Detection Using Raspberry Pi & TFLite

This project detects whether a rider is wearing a helmet using a Raspberry Pi and a TensorFlow Lite model. It also integrates an MPU6050 accelerometer to check if the vehicle is moving. If a rider is detected without a helmet while the vehicle is moving, an alert buzzer sounds.

Features

• Helmet Detection using a TFLite model and Raspberry Pi camera.
• Vehicle Motion Detection using an MPU6050 accelerometer.
• Relay Control to enforce helmet usage before vehicle ignition.
• Buzzer Alert when the vehicle is moving without helmet detection.

Hardware Requirements

• Raspberry Pi 4 / 3B+ (Any model with GPIO support)
• Raspberry Pi Camera Module
• MPU6050 Accelerometer Module
• 5V Relay Module
• Buzzer
• Connecting Wires

Circuit Connections

Component	Raspberry Pi Pin
Buzzer	GPIO 18 (Pin 12)
Relay	GPIO 17 (Pin 11)
MPU6050 SDA	GPIO 2 (Pin 3)
MPU6050 SCL	GPIO 3 (Pin 5)
MPU6050 VCC	3.3V (Pin 1)
MPU6050 GND	GND (Pin 6)

Software Setup

1. Install Required Libraries

Ensure your Raspberry Pi is updated:

sudo apt update && sudo apt upgrade -y

Then, install the required Python packages:

pip install -r requirements.txt

2. Enable I2C

Run:

sudo raspi-config

• Navigate to Interfacing Options
• Enable I2C
• Reboot the Pi: sudo reboot

3. Run the Helmet Detection Script

After setting up the hardware, run the detection script:

python helmet_new.py

Expected Output

• If a helmet is detected, the relay remains ON.
• If no helmet is detected and the vehicle is moving, a buzzer alert sounds.
• If no helmet is detected but the vehicle is stationary, the relay turns OFF.

Notes

• Ensure the model file helmet.tflite is placed in the same directory as helmet_detection.py.
• You can modify the relay behavior based on your requirements.

Authors

• Rajeev Sekar
• Abinaya Raghuraman

License

This project is open-source under the MIT License.