diff --git a/scripts/detect-blank-pages.py b/scripts/detect-blank-pages.py
index 474c2735..4ca724c2 100644
--- a/scripts/detect-blank-pages.py
+++ b/scripts/detect-blank-pages.py
@@ -1,10 +1,11 @@
 import cv2
 import sys
 import argparse
+import numpy as np
 
 def is_blank_image(image_path, threshold=10, white_percent=99, white_value=255, blur_size=5):
     image = cv2.imread(image_path, cv2.IMREAD_GRAYSCALE)
-    
+
     if image is None:
         print(f"Error: Unable to read the image file: {image_path}")
         return False
@@ -15,19 +16,11 @@ def is_blank_image(image_path, threshold=10, white_percent=99, white_value=255,
     _, thresholded_image = cv2.threshold(blurred_image, white_value - threshold, white_value, cv2.THRESH_BINARY)
 
     # Calculate the percentage of white pixels in the thresholded image
-    white_pixels = 0
-    total_pixels = thresholded_image.size
-    for i in range(0, thresholded_image.shape[0], 2):
-        for j in range(0, thresholded_image.shape[1], 2):
-            if thresholded_image[i, j] == white_value:
-                white_pixels += 1
-            white_pixel_percentage = (white_pixels / (i * thresholded_image.shape[1] + j + 1)) * 100
-            if white_pixel_percentage < white_percent:
-                return False
+    white_pixels = np.sum(thresholded_image == white_value)
+    white_pixel_percentage = (white_pixels / thresholded_image.size) * 100
 
     print(f"Page has white pixel percent of {white_pixel_percentage}")
-    return True
-
+    return white_pixel_percentage >= white_percent
 
 
 if __name__ == "__main__":
@@ -39,9 +32,6 @@ if __name__ == "__main__":
 
     blank = is_blank_image(args.image_path, args.threshold, args.white_percent)
 
-    if blank:
-        # Return code 1: The image is considered blank.
-        sys.exit(1)
-    else:
-        # Return code 0: The image is not considered blank.
-        sys.exit(0)
+    # Return code 1: The image is considered blank.
+    # Return code 0: The image is not considered blank.
+    sys.exit(int(blank))