import numpy as np

def detect_shadows(image):
    # Simulate dust/shadow detection (using simple thresholding)
    grayscale = np.array(image.convert('L'))  # Convert image to grayscale
    shadow_area = grayscale < 50  # Example threshold for shadows/dust
    shadow_locations = np.where(shadow_area)

    return [{"type": "Shadow/Dust", "location": (x, y)} for x, y in zip(shadow_locations[0], shadow_locations[1])]