🌡️🔍 PCB Thermal Anomaly Detection System 🔍🌡️

Welcome to the PCB Thermal Anomaly Detection System! This project allows for real-time thermal imaging analysis of printed circuit boards, highlighting hotspots and saving captured images to help streamline manufacturing efficiency by identifying overheated components with precision. 🚀

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📖 Features 📖

• Real-Time Anomaly Detection: Automatically highlights overheating areas on PCBs with visual markers. 🔴🟡
• Customizable Temperature Thresholds: Adjust and monitor threshold settings for precise control over what qualifies as a ‘hot spot’. 🔥
• Automatic Snapshot & Storage: Captures and saves images of detected anomalies in a dedicated folder. 🖼️
• User Interface: A modern, responsive Pygame interface with interactive animations and sleek design. 🖥️✨
• Accuracy and Intensity Graphs: View live accuracy and thermal intensity metrics for consistent monitoring! 📈📊

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🖼️ Screenshots 🖼️

Main Interface

Welcome Screen

Real-Time Thermal Video Mode

Thermal Tracking Results

Detection Accuracy and Intensity Graphs

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🚀 Getting Started 🚀

🧩 Prerequisites 🧩

• Python: Ensure Python 3.6+ is installed 🐍.
• Dependencies:
  • Install required packages via pip:
  • Or you can instal by running the requirements.txt file

    pip install numpy opencv-python pygame matplotlib

• USB Thermal Camera: Compatible with FLIR or Seek Thermal, connected via USB. 🔌📷

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📂 Setup Instructions 📂

1. Clone the Repository 📂:

   git clone https://github.com/astromanu007/PCB_Anomaly_Detection.git
   cd PCB_Anomaly_Detection

2. Project Structure 📁

PCB_Anomaly_Detection/
├── assets/                     # Folder for static assets like icons and images
│   ├── thermal_icon.png
│   └── creator_photo.jpg
├── sample_images/              # Folder with sample PCB images for uploading
├── anomaly_captures/           # Folder where captured anomalies are stored
├── images/                     # Folder with screenshots for README
│   ├── MAIN.jpg
│   ├── INTRO.png
│   ├── VIDEO_MODE.png
│   ├── LIVE_TRACKING_RESULTS.png
│   └── GRAPHS.jpg
├── main.py                     # Main application code for running the PCB Thermal Anomaly Detection System
└── README.md                   # Project README file with detailed documentation

3. Run the Application 🚀:

python main.py

🎮 User Interface Controls 🎮

• 🟢 Start/Stop: Toggle real-time monitoring.
• 🎚️ Threshold Adjustment: Fine-tune temperature sensitivity.
• 🔴 Record: Enable image capture for anomalies.
• 📤 Upload: Manually load a sample PCB image from the sample_images folder.
• 📊 Results: View the processed output with detected hotspots.
• 📈 Graphs: Visualize detection accuracy and thermal intensity over time.

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🛠️ Project Structure & Details 🛠️

Directory	Description 📑
main.py	Contains the primary application code for the PCB Thermal Anomaly Detection System.
assets/	Folder for static assets including icons, images, and other visual elements.
sample_images/	Contains sample PCB images for uploading and testing.
anomaly_captures/	Stores all captured images of detected anomalies.
images/	Contains screenshots and icons for the README.

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🎮 How to Use 🎮

• 🟢 Start Monitoring: Launches the thermal camera feed for real-time PCB analysis.
• 🎚️ Adjust Threshold: Increase or decrease the detection temperature threshold to match your analysis needs.
• 📸 Automatic Capture: When a hotspot is detected, an image is automatically saved in the anomaly_captures folder with the timestamp.
• 📊 Graphs & Statistics: Track real-time performance stats with dynamic visualizations.

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📞 Contact Information 📞

For any questions, suggestions, or collaboration inquiries, feel free to reach out:

• Email: [email protected]
• LinkedIn: Manish Dhatrak
• GitHub: astromanu007

Hope you find this tool useful for improving PCB quality control! 😊✨

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📢 License 📢

This project is licensed under the MIT License. 📜 Feel free to use, modify, and distribute it as needed.