Introduction. 4 System Overview.. 10 Required Hardware. 15 Setting Up Raspberry Pi and OS. 21 Installing Dependencies (Python, OpenCV, TensorFlow, etc.). 28 Connecting and Configuring 4 Cameras. 36 Building the GUI for Multilingual Support. 45 Capturing and Uploading Good & Bad Part Images. 53 Training the AI Model for Classification. 60 Real-Time Detection with Multi-Camera Comparison. 69 Light and Speaker Integration (GPIO Control). 80 Button Integration: Start Checking & Reset Counter. 88 Chapter 13: Counting Good Parts and Target Notification. 99 Chapter 14: Defect Naming and Audio Alert System.. 107 Chapter 15: Language Switching for GUI and Speaker. 113 Chapter 16: Weekly Auto-Retraining with New Images. 121 Chapter 17: Saving Logs Locally and Syncing to Google Drive. 128 Chapter 18: Auto-Start GUI on Boot (Touchscreen Support). 135 Chapter 19: Field Testing and Optimization. 143 Chapter 20: Final Thoughts and Future Improvements. 149 Sample Python Codes. 156 Folder Structure. 166
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