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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
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