Publisher's Synopsis
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
