S-Rover (सरोवर) - Subterranean Rover 🤖

🚀 Overview

Explore the "S-Rover (सरोवर)" project – a fusion of computer vision, image processing, and Google Cloud Platform integration. This collaborative effort by our fantastic team results in captivating color maps generated from video frames. S-Rover (Sarovar) integrates cutting-edge sensors and navigation algorithms to autonomously explore and map unknown terrains. By capturing sequential images and stitching them in real-time, S-rover offers a versatile solution for enhanced exploration in inaccessible or hazardous environments.

✨ Features

• Dynamic Source Handling: Intelligently switches between live streams and local video files.
• Frame Extravaganza: Captures frames at regular intervals for further processing.
• Circular Magic: Utilizes OpenCV wizardry to extract annular strips from images.
• Color Symphony: Creates lively color maps using various OpenCV techniques.
• Google Cloud Platform: Seamlessly uploads processed files to designated Google Drive folders.

🛠 Usage

Prerequisites

- Python 3.x
- OpenCV (pip install opencv-python)
- Google API Python Client (pip install google-api-python-client)

Setup

1. Clone the repository:

   git clone https://github.com/RES-200/s-rover.git
   cd s-rover
   

2. Install dependencies:

pip install -r requirements.txt
Update service_account.json:

3. Replace the placeholder service_account.json with your Google Drive API credentials.

🧑🏻‍💻 Running the Code -

python main_script.py
📁 File Structure
arduino
📦 s-rover
 ┣ 📂 Landing Page
 ┃ ┣ ... (Image_Processing)
 ┣ 📜 Aurdino_control
 ┗ 📜 service_account.json
📜 readme.md
📜 License

This project is licensed under the MIT License - see the LICENSE file for details.

🤔 Research Survey -

1. OpenROV: Open-source underwater drone with cameras and sonar for cost-effective underwater mapping. (existing)

2. ANYmal: Quadrupedal robot with LiDAR, cameras, and IMU sensors for agile navigation in disaster zones. (existing)

** Differentiator: S-Rover (Sarovar) offers real-time mapping using a simple camera, providing a cost-effective and versatile solution for autonomous terrain mapping.

🤝 Contribution -

Feel free to contribute! Check out the Contribution Guidelines for more information.

👥 Team -

1. ShekharShwetank - Team Lead
2. harshitsinghcode
3. Shashwat Mishra
4. Utkarsh Rounak

S-Rover is more than just a project, it addresses the critical need for reliable mapping in environments where human access is limited or unsafe, offering a solution that minimizes reliance on human intervention.

Happy Coding peeps ✈️!!