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This project is designed to detect weeds in real-time video streams. It includes a dashboard for viewing live video feeds with weed detection overlays, an analytics page with charts generated using Chart.js, and a visualization of weed concentrations on an OpenStreetMap.

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iavinash73/Weedinator

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Weedinator

This project aims to provide real-time weed detection in video streams, accompanied by analytics and visualization features.

DEMO

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Overview

This project is designed to detect weeds in real-time video streams. It includes a dashboard for viewing live video feeds with weed detection overlays, an analytics page with charts generated using Chart.js, and a visualization of weed concentrations on an OpenStreetMap.

Features

  • Real-time weed detection in video streams.
  • Dashboard to display live video with weed detection overlays.
  • Analytics page with charts generated using Chart.js.
  • Visualization of weed concentrations on an OpenStreetMap.

Technologies Used

  • Frontend: React js , tailwind
  • Frameworks/Libraries:
    • Chart.js
    • OpenStreetMap API
    • Roboflow

Installation

  1. Clone the repository:

    git clone https://github.com/your-username/weed-detector.git

About

This project is designed to detect weeds in real-time video streams. It includes a dashboard for viewing live video feeds with weed detection overlays, an analytics page with charts generated using Chart.js, and a visualization of weed concentrations on an OpenStreetMap.

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