Open Source Algorithm for detecting ship passengers’ abnormal behaviors and fall accidents

Preventing accident on ship and alert for help is the goal for the detection algorithm. Prevent more accidents, save more lives.
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Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Prerequisites
   • Installation
3. Usage
4. Roadmap
5. Contributing
6. License
7. Contact
8. Acknowledgments

About The Project

Open Source CCTV based AI algorithm where it detects the abnormal behaviors of passengers on the ship to predict the possible accidents and warn the on board sailors. And when the CCTV catches the actual accidents the algorithm will alert the incidents and the current accident location to near by Coast Guards in real time in order to increase the rescue rate for the fallen pessengers

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Built With

• Jupyter Lab
• TensorFlow
• Python
• ...

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Getting Started

This is an example of how you may give instructions on setting up your project locally. To get a local copy up and running follow these simple example steps.

Prerequisites

This is an example of how to list things you need to use the software and how to install them.

• Tensorflow

   install  -g

• PyTorch

  something

• Jupyter Lab

  something

Installation

1. Get a free API Key at https://example.com
2. Clone the repo

   git clone https://github.com/Arakim44/ship-passengers-abnormal-behavior-and-fall-detection.git

3. Install packages

    install

4. Enter your API in config.js

   const API_KEY = 'ENTER YOUR API';

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Usage

Use this space to show useful examples of how a project can be used. Additional screenshots, code examples and demos work well in this space. You may also link to more resources.

For more examples, please refer to the Documentation

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Roadmap

• Feature 1
• Feature 2
• Feature 3
  • Nested Feature

See the open issues for a full list of proposed features (and known issues).

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Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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License

Distributed under the MIT License. See LICENSE.txt for more information.

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Contact

Your Name - @twitter_handle - email@email_client.com

Project Link: https://github.com/Arakim44/ship-passengers-abnormal-behavior-and-fall-detection

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Acknowledgments

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