📌 Smart Vision System

📝 Project Description

The Smart Vision System is an AI-powered assistive technology designed to help visually impaired individuals perceive their surroundings. The system integrates image processing, object detection, speech recognition, and text-to-speech conversion to provide real-time audio feedback about detected objects and their distances.

🚀 Features

• 🖼️ Object Detection: Uses SSD MobileNet to detect and classify objects in the environment.
• 🔢 Distance Calculation: Estimates the distance between detected objects.
• 🎤 Voice Commands: Supports voice input using Speech Recognition.
• 🔊 Audio Feedback: Converts detected objects into speech using pyttsx3.
• 📷 Real-time Processing: Captures and processes live video frames from a camera.

🏗️ Project Structure

Smart-Vision-System/
│── models/                     # Folder for AI models
│   ├── ssd_mobilenet.tflite     # If using TFLite
│   ├── ssd_mobilenet.pb         # If using TensorFlow
│
│── src/                         # Source code files
│   ├── main.py                  # Main entry point
│   ├── ai_integration.py        # Handles AI model processing
│   ├── image_processing.py      # Processes images for object detection
│   ├── speech_recognition.py    # Voice input handling
│
│── config/                      # Configuration files
│   ├── config.json              # Stores settings
│
│── docs/                        # Documentation folder
│   ├── README.md                # Main project documentation
│
│── requirements.txt             # Python dependencies
│── .gitignore                   # Ignore unnecessary files
│── LICENSE                      # License file

🔧 Installation & Setup

1️⃣ Prerequisites

Ensure you have Python 3.8+ installed on your system.

2️⃣ Clone the Repository

git clone https://github.com/your-username/Smart-Vision-System.git
cd Smart-Vision-System

3️⃣ Install Dependencies

pip install -r requirements.txt

4️⃣ Run the Application

python src/main.py

📦 Dependencies (requirements.txt)

openai
opencv-python
numpy
tensorflow
pyttsx3
SpeechRecognition

🎯 How It Works

1. Captures real-time video using OpenCV.
2. Processes frames using SSD MobileNet to detect objects.
3. Recognizes user voice commands for interaction.
4. Converts detected objects into speech output using pyttsx3.

🛠️ Technologies Used

• Python (Programming Language)
• OpenCV (Computer Vision)
• TensorFlow SSD MobileNet (AI Model for Object Detection)
• SpeechRecognition (Voice Input Handling)
• pyttsx3 (Text-to-Speech Conversion)

🤝 Contributing

1. Fork the repository
2. Create a new branch: git checkout -b feature-branch
3. Commit your changes: git commit -m 'Added new feature'
4. Push to the branch: git push origin feature-branch
5. Submit a pull request

📝 License This project is licensed under the MIT License.

📬 Contact 📧 Email: bharani232427@gmail.com
🐙 GitHub: https://github.com/bharani-coder-27 🚀 LinkedIn: www.linkedin.com/in/bharanidharan27