| from modules.ai_model import run_inference # Import the model inference function | |
| def detect_faults(video_frame): | |
| # Process the frame (convert to suitable format if needed) | |
| outputs = run_inference(video_frame) | |
| # Post-process output (bounding boxes, fault detection) | |
| faults = process_model_output(outputs) | |
| return faults | |
| def process_model_output(outputs): | |
| # Example: extract faults based on AI output | |
| faults = [] | |
| if "hotspot" in outputs: | |
| faults.append("Hotspot Detected") | |
| if "shading" in outputs: | |
| faults.append("Shading Detected") | |
| return faults | |