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🚀 IoTVision: Open-Source IoT Device Annotation & Simulation!

🔹 What is IoTVision?

IoTVision is a Python-based open-source package designed to help researchers, developers, and engineers annotate IoT devices in images and simulate their status dynamically.

  • IoT Annotator: Easily label IoT devices in images with bounding boxes and store metadata in a CSV file.
  • IoT Simulator: Toggle IoT device states using simple commands and visualize the updates in real time.

🎯 Who is it for?

  • Smart Home & Industrial IoT Developers 🏠🏭
  • Computer Vision & AI Researchers 📸🤖
  • Simulation & Digital Twin Enthusiasts 🌍💡

If you're working with smart environments, IoT-based automation, or digital twins, this tool will make your workflow smoother!

⚡ Why Should You Use It?

Automates IoT Device Annotation – No more manual tracking! ✅ Enables Real-Time IoT Device Simulation – Easily control and monitor states. ✅ Lightweight & Easy to Use – Simple command-line interface. ✅ Open Source & Extensible – Contribute and expand its capabilities.


🔧 Installation

Install IoTVision using pip:

pip install iotvision

🚀 Usage

1️⃣ Using IoTVision in a Python Script

from iotvision import IoTAnnotator, IoTSimulator

# Annotate IoT devices
folder_path = "path/to/image_folder"
annotator = IoTAnnotator(folder_path)
annotator.annotate_images()

# Simulate IoT devices
# Make sure that you have an empty annotations.csv file in the project directory.
csv_path = "annotations.csv"
simulator = IoTSimulator(csv_path, folder_path)
simulator.start()

2️⃣ Using IoTVision from the Command Line

Annotating Images

Run the following command to annotate IoT devices in images:

iot-annotate

You will be prompted to enter the folder path containing images. The annotation process involves:

  • Clicking on images to draw bounding boxes
  • Pressing o for "On", f for "Off", t to set an appliance type, and s to save
  • Annotations are saved to annotations.csv

Simulating IoT Devices

Run the following command to start the IoT simulator:

iot-simulate

The simulator will:

  • Load the images and overlay annotations
  • Allow users to update device states dynamically using text commands
  • Example command format: fan1 On
  • Type exit to quit the simulation

📌 Example

# Annotate IoT devices
iot-annotate

# Simulate IoT devices
iot-simulate

📦 Dependencies

  • OpenCV (opencv-python)
  • NumPy

📝 License

This project is licensed under the MIT License.

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