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# S-Rover (सरोवर) - Subterranean Rover 🤖 | ||
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## 🚀 Overview | ||
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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. | ||
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## ✨ Features | ||
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- *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. | ||
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## 🛠 Usage | ||
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### Prerequisites | ||
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``` | ||
- Python 3.x | ||
- OpenCV (pip install opencv-python) | ||
- Google API Python Client (pip install google-api-python-client) | ||
``` | ||
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### Setup | ||
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1. *Clone the repository:* | ||
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``` | ||
git clone https://github.com/RES-200/s-rover.git | ||
cd s-rover | ||
``` | ||
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2. *Install dependencies:* | ||
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``` | ||
pip install -r requirements.txt | ||
Update service_account.json: | ||
``` | ||
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3. *Replace the placeholder service_account.json with your Google Drive API credentials.* | ||
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### 🧑🏻💻 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. | ||
``` | ||
![image](https://github.com/RES-200/S-Rover/assets/110082422/d7bc1a14-d69a-4c87-846d-7696b8afa751) | ||
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## 🤔 Research Survey - | ||
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1. OpenROV: Open-source underwater drone with cameras and sonar for cost-effective underwater mapping. (existing) | ||
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2. ANYmal: Quadrupedal robot with LiDAR, cameras, and IMU sensors for agile navigation in disaster zones. (existing) | ||
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** **Differentiator**: S-Rover (Sarovar) offers real-time mapping using a simple camera, providing a cost-effective and versatile solution for autonomous terrain mapping. | ||
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## 🤝 **Contribution** - | ||
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Feel free to contribute! Check out the Contribution Guidelines for more information. | ||
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## 👥 Team - | ||
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1. [ShekharShwetank](https://github.com/ShekharShwetank) - **Team Lead** | ||
2. [harshitsinghcode](https://github.com/harshitsinghcode) | ||
3. [Shashwat Mishra](https://github.com/Shashwatm74) | ||
4. [Utkarsh Raunak](https://github.com/utkxrsx) | ||
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**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. | ||
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Happy Coding peeps ✈️!! |