Automated Visual Inspection System for Fiber Optic Installation Validation Using AI and Computer Vision
The system must analyze photographs of fiber optic installations, verify correctness at different stages, and provide clear, interpretable results with visual explanations. It should support training, validation, and real-time inference, with user-friendly interfaces.
Python for programming and system integration, PyTorch for deep learning model development, OpenCV for image processing and analysis...