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"Drone-Log" is a repository created for the 2023 IIT Techfest competition by Godrej & Boyce Mfg. Co. Ltd. It focuses on developing autonomous drones capable of managing inventory by capturing data from QR codes and displaying it on a dashboard.

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QR Code Repository

This repository contains scripts and files to manage QR code data for an inspecting drone.

Files

  • drone_log_ground_station.py: Python script responsible for interacting with the GitHub API to process QR code data.
  • qr_raspberrypi.py: Script designed to run on a Raspberry Pi with a camera module. Scans QR codes and updates data on GitHub.
  • index.html: HTML file displaying data from the local_data.csv file, updated by drone_log_ground_station.py.
  • unavailable.py: Updates the local_data.csv file to display unavailable data.

Usage

Setup

  1. Clone the repository locally.
  2. Ensure required libraries are installed (for Python scripts).
  3. Customize access tokens and repository details in the scripts:
    • drone_log_ground_station.py: Update owner, repo, file_path, and token with your repository information and access token.
    • qr_raspberrypi.py: Set the token variable with your access token.

Running the Scripts

  • drone_log_ground_station.py:
    • Execute this script to manage data fetched from the inspecting drone.
  • qr_raspberrypi.py:
    • Run this script on a Raspberry Pi with a camera module. It scans QR codes and updates data on GitHub.

HTML Display

  • Open index.html in a web browser to view a dynamically updated table of data from local_data.csv.

Logo

  • uasnmims_LITT.jpeg is the logo of our team, 🔥LITT🔥 at NMIMS Shirpur.

Important Notes

  • Ensure permissions and access rights are correctly set for GitHub repositories when using access tokens.
  • Modifications to the scripts should be made carefully to avoid unintended changes to the data.

About

"Drone-Log" is a repository created for the 2023 IIT Techfest competition by Godrej & Boyce Mfg. Co. Ltd. It focuses on developing autonomous drones capable of managing inventory by capturing data from QR codes and displaying it on a dashboard.

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  • Python 75.8%
  • HTML 24.2%