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https://github.com/orcos-nom/aiodr

artificial intelligence object detection rover
https://github.com/orcos-nom/aiodr

computer-vision-opencv deep-learning esp32 esp32-cam machine-learning object-detection python3 real-time-detection robotics tensorflow yolov8

Last synced: 6 days ago
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artificial intelligence object detection rover

Host: GitHub
URL: https://github.com/orcos-nom/aiodr
Owner: Orcos-nom
Created: 2024-11-24T04:11:08.000Z (3 months ago)
Default Branch: main
Last Pushed: 2025-01-26T07:02:04.000Z (19 days ago)
Last Synced: 2025-01-26T07:25:42.187Z (19 days ago)
Topics: computer-vision-opencv, deep-learning, esp32, esp32-cam, machine-learning, object-detection, python3, real-time-detection, robotics, tensorflow, yolov8
Language: C
Homepage:
Size: 76.2 KB
Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

README

        # **AIODR - Artificial Intelligence Object Detection Rover**

Welcome to AIODR, an advanced Bluetooth-controlled rover that seamlessly integrates robotics and AI for real-time object detection. Built around the ESP32 microcontroller, this project brings together cutting-edge technology to deliver an interactive and intelligent robotic experience. Whether you're an enthusiast, student, or developer, AIODR offers a hands-on introduction to the exciting intersection of IoT and artificial intelligence.  

---  

## **Features**  

- **📲 Bluetooth Control**  

  Operate the rover effortlessly through a custom mobile app, providing real-time directional control and feedback.

- **📸 Object Detection**  

  Harnesses the power of YOLOv8 to detect and classify objects with high accuracy and efficiency.

- **🌄 Camera Integration**  

  Equipped with the ESP32-CAM module to capture live video streams and provide continuous image processing.

- **🧠 AI-Powered Processing**  

  Leverages machine learning frameworks like TensorFlow and YOLOv8 for precise object identification and tracking.

- **💻 Python Backend**  

  Robust detection algorithms built using Python 3, utilizing OpenCV and NumPy for image preprocessing and analysis.

---  

## **Technologies Used**  

| Component          | Description                                                 |

|-------------------|-------------------------------------------------------------|

| **ESP32**          | Handles Bluetooth communication and controls motor movement |

| **ESP32-CAM**      | Captures and streams video for AI-based processing          |

| **Python 3**       | Core programming language for detection and control logic   |

| **OpenCV & NumPy** | Provides image processing and numerical analysis tools      |

| **TensorFlow**     | AI framework for object detection and classification        |

| **YOLOv8**         | Real-time object detection algorithm                        |

---  

## **How It Works**  

1. The ESP32 microcontroller establishes a Bluetooth connection with the mobile app.

2. Commands sent via the app control the movement of the rover (forward, backward, left, right).

3. The ESP32-CAM captures live video, streaming it to a Python processing unit.

4. Using OpenCV and NumPy, the video frames are processed and fed into the YOLOv8 model.

5. Detected objects are labeled and visualized in real-time on the mobile app or display.

---  

## **Applications**  

AIODR has a wide range of practical applications, including:

- 📚 **Educational Robotics & AI Learning**  

  Perfect for students and enthusiasts exploring robotics and artificial intelligence.

- 🛡️ **Surveillance & Monitoring Systems**  

  Can be deployed for home security and remote monitoring.

- 🚒 **Autonomous Navigation**  

  Potential to develop self-driving algorithms for exploration and obstacle avoidance.

- 🌱 **Agriculture & Environment Monitoring**  

  Useful for monitoring crops, livestock, and environmental conditions.

- 🏛️ **Industrial Applications**  

  Can assist in warehouse automation and quality inspection tasks.

---  

## **Getting Started**  

### **Hardware Requirements:**  

- ESP32 Development Board  

- ESP32-CAM Module  

- MG995 Servo Motor  

- 100 RPM DC Motors (x2)  

- L298N Motor Driver  

- Li-ion Battery Pack  

- 3D-printed chassis and laser-cut acrylic parts  

### **Software Requirements:**  

Make sure to install the following dependencies before running the project:

```bash

pip install opencv-python numpy tensorflow ultralytics

```

### **Installation Steps:**  

1. Clone this repository:

   ```bash

   git clone https://github.com/Orcos-nom/AIODR.git

   cd AIODR

   ```

2. Flash the ESP32 with the provided firmware using the Arduino IDE.

3. Run the Python detection script on your PC:

   ```bash

   python detection.py

   ```

4. Connect the mobile app via Bluetooth and control the rover.

---  

## **Future Improvements**  

We have several exciting plans to enhance AIODR, such as:

- 🧠 Implementing cloud connectivity for remote monitoring.

- 🌐 Enhancing object detection with custom-trained models.

- 🛠️ Adding autonomous path planning with obstacle avoidance.

- 🌟 Improving energy efficiency for prolonged operation.

---  

## **Contributing**  

We welcome contributions from the community! If you'd like to contribute to AIODR, feel free to submit pull requests or open issues to suggest enhancements and bug fixes.

---  

## **License**  

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

---  

## **Acknowledgments**  

Special thanks to all contributors and the open-source community for their invaluable resources and support. Let's keep innovating! 🚀

---

**Follow the project and stay updated on future developments!**  

---