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WildBioScan

Repository for project details for Fuel Load Data Capturer in collaboration with Allen Institute for AI - For usage in forest environments to gather data on wildfire fuel estimations.

Team Members - Ghea Suyono, Abhishek Singh, Rishi Mullur

RPLidar A1

Prerequisites

Before proceeding with the installation, ensure that you have Python and pip installed on your system. This guide assumes you are using Python 3.

Installation

Create a Virtual Environment (Optional)
  1. Ensure you have Python 3 installed. You can check your Python version by running:

    python3 --version
  2. Create a virtual environment named env (or any other name you prefer) by running:

    python3 -m venv env

    To activate the virtual environment, follow the instructions for your operating system:

  • Windows:

    .\env\Scripts\activate
  • macOS and Linux:

    source env/bin/activate
Install RPLidar

With the virtual environment activated, you can install the RPLidar library using pip. Run the following command:

pip install rplidar-roboticia

Other additional modules and libraries required can be found in requirements.txt

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Wildfire fuel estimations by analysis and acquisition of data via local hardware device in forest environments.

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