diff --git a/README.md b/README.md
index fdd6035..d631195 100644
--- a/README.md
+++ b/README.md
@@ -1,2 +1,16 @@
 # ultimate-photo-digitizer
 
+
+## Scanner comands
+
+```
+scanimage --progress --output-file 01.png --format=png --mode Color --resolution 2400 --verbose --depth 16
+```
+
+
+## Setup
+
+```
+pip install opencv-python-headless
+
+```
diff --git a/extract_photos.py b/extract_photos.py
new file mode 100644
index 0000000..6670e51
--- /dev/null
+++ b/extract_photos.py
@@ -0,0 +1,67 @@
+# import required libraries
+import cv2
+import sys
+
+# read the input image
+img = cv2.imread('hires_test.png')
+
+
+if not img:
+    print("unable to read image")
+    sys.exit(-1)
+
+print("read done")
+
+# convert the image to grayscale
+gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+print("convert to gray done")
+
+# apply thresholding on the gray image to create a binary image
+ret,thresh = cv2.threshold(gray,127,255,0)
+
+# find the contours
+contours, hierarchy = cv2.findContours(thresh,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
+
+areas = list()
+
+for cnt in contours:
+    #print(cv2.contourArea(cnt))
+    areas.append(cv2.contourArea(cnt))
+
+areas.sort(reverse=True)
+
+#print(areas)
+
+if (len(areas) >= 5):
+    outer = areas[0]
+    inter_min = areas[4]
+    print("Outer area: " + str(outer))
+    print("Inner area: " + str(inter_min))
+
+    index = 0
+
+    for cnt in contours:
+        area = cv2.contourArea(cnt)
+        if( (area < outer) and (area >= inter_min)):
+            # compute the bounding rectangle of the contour
+            x,y,w,h = cv2.boundingRect(cnt)
+            # draw the bounding rectangle
+            #imgView = cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),2)
+
+            x = x + 5
+            y = y + 5
+            w = w - 10
+            h = h - 10 
+
+            crop_img = img[y:y+h, x:x+w]
+            #cv2.imshow("cropped", crop_img)
+            cv2.imwrite("export_"+str(index)+".png", crop_img)
+            index = index + 1
+            #cv2.waitKey(0)
+
+# display the image with bounding rectangle drawn on it
+#imgDownscaled = cv2.resize(imgView, (410, 876)) 
+#cv2.imshow("Bounding Rectangle", imgDownscaled)
+#cv2.waitKey(0)
+#cv2.destroyAllWindows()
+
diff --git a/scan_photos.py b/scan_photos.py
new file mode 100644
index 0000000..90833dd
--- /dev/null
+++ b/scan_photos.py
@@ -0,0 +1,54 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+""" Author:                     Hendrik Schutter, mail@hendrikschutter.com
+"""
+
+import os
+import errno
+import time
+import shutil
+import sys
+import subprocess
+
+scan_cmd = "scanimage --progress --format=png --mode Color --resolution 2400 --verbose --depth 16 --output-file "
+
+def main():
+    print("starting ...")
+
+    destination_dir_path = -1
+
+    for argument in sys.argv:
+        if argument.startswith('destination_dir'):
+            destination_dir_path = argument.split("=")[1]
+        
+    if (destination_dir_path == -1):
+        print("Unable to parse config!")
+        print("Example usage:")
+        print("     python scan_photos.py destination_dir=scans/ ")
+        sys.exit(-1)
+
+    filename = time.strftime("%Y-%m-%d_%H-%M-%S.png")
+    #print(filename)
+
+    filepath = os.path.join(destination_dir_path, filename)
+    #print(filepath)
+
+    cmd = scan_cmd + filepath
+    
+    print(cmd)
+    p = subprocess.Popen(cmd, stdout=subprocess.PIPE, shell=True)
+    (output, err) = p.communicate()
+    
+    p_status = p.wait()
+    #print("Command output : ",output.decode())
+    print("Command exit status/return code : ", p_status)
+
+    if(int(p_status) == 0):
+        print("Scan successful")
+    else:
+        print("Scan failed!")
+        if os.path.exists(filepath):
+            os.remove(filepath)
+
+if __name__ == "__main__":
+        main()
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