Database-matched-Positioning: A System for Database-assisted Location Determination

Database-matched-Positioning is a system that utilizes database records to assist in determining the location of entities within a given environment.

Overview

This system leverages existing databases containing information about the environment, such as Wi-Fi access points, GPS coordinates, or other beacons, to enhance location accuracy and reliability.

Key Features

• Database Integration: Seamlessly integrates with databases to retrieve environmental data.
• Enhanced Accuracy: Improves location determination by cross-referencing sensor data with database records.
• Scalability: Designed to work in various environments and with different types of databases.
• Open Source: Encourages community contributions and improvements.

Getting Started

To set up and run the Database-matched-Positioning system, follow these steps:

1. Clone the Repository

   git clone https://github.com/Yuyyyuuu/Database-matched-Positioning.git

2. Install Dependencies Ensure you have Python and the required libraries installed. The dependencies are listed in the requirements.txt file.

3. Configure Database Access Set up the necessary database connections and access permissions as per the instructions in the documentation.

4. Run the System Execute the main script to start the positioning process.

Documentation

Refer to the docs directory for detailed documentation on system configuration, operation, and usage examples.

Contributing

We welcome contributions! Please read the CONTRIBUTING.md file for details on how to contribute to the project.

License

This project is licensed under the MIT License. See the LICENSE file for more information.

Contact

For support or to suggest new features, use the issue tracker within the repository.

Acknowledgements

Thanks to the open-source community for their ongoing support and contributions to the development of this project.

This README template provides a structured overview of the project, its main features, setup instructions, and guidelines for documentation, contributing, licensing, and community engagement, all while adhering to the guidelines of not including personal information or external links.