CARE4THER APP USING ML AND ANDROID
Nearly 80% of accidents take place yearly . this piece of code will help the users to detect an accident an a early stage and it is detected by different libraries like Deep learning etc. Code Requirements
You can install Conda for python which resolves all the dependencies for machine learning.
pip install requirements.txt Procedure
Run create_dataset.py for converting the video to images. Then run main.py to train the model. Finally, run model.py for testing your model. The Algorithm: Each video is a set of individual images that are time-dependent sequences. The algorithm - a hierarchical recurrent neural network - is able to treat each video as a time-dependent sequence, but still allow each video to be an independent data point.
The algorithm uses two layers of long short-term memory neural networks. The first neural network (NN) is a recurrent network that analyzes the time-dependent sequence of the images within each video. The second takes the encoding of the first NN and builds a second NN that reflects which videos contain accidents and which do not. The resulting model enables a prediction of whether new dashcam footage has an accident.
Through this method, the HRNN incorporates a time-dependent aspect of the frames within each video to predict how likely it is a new video contains a car accident.
VARIOUS TECHNOLOGIES USED IN THE PROJECT
- DEEP LEARNING
- MACHINE LEARNING
- ANDROID
- JAVA
- CNN
Why this project is important
To prevent accidents , this is the app that can tell the location of the accident and it could prevent the accidents.
FEATURES OF THE APP
The app is made using Java language, various features are being added in the app like.. alert system for an accident,sensors,etc
Try implementing this project and suggest changes:) Happy Learning!