Motorcycle accidents have been rapidly growing through the years in many countries. In India more than 37 million people use two wheelers. Therefore, it is necessary to develop a system for automatic detection of helmet wearing for road safety. Therefore, a custom object detection model is created using a Machine learning based algorithm which can detect Motorcycle riders. On the detection of a Helmet rider.
Its a simple YOLO model to detect and count the number of people wearing helmet in a image. this model can be used to detect the intrusion or to find the people ridding bike without helmet.
Getting Started
Download my weight https://drive.google.com/file/d/1r7AF0OrftGQhNpQmbRy--lWu5VgDJvVl/view?usp=sharing in model_data folder then run
python main.py --input <your_video_path>
The code is compatible with Python 2.7 and 3. The following dependencies are needed to run the code:
NumPy
sklean
OpenCV
Pillow
keras
Additionally, feature generation requires TensorFlow-1.14.0.
