diff --git a/python/haarcascade.py/main.py b/python/haarcascade.py/main.py
new file mode 100644
index 0000000..a89cff9
--- /dev/null
+++ b/python/haarcascade.py/main.py
@@ -0,0 +1,66 @@
+import cv2
+import sys
+import pandas
+
+cascPath = "haarcascade_frontalface_default.xml"
+faceCascade = cv2.CascadeClassifier(cascPath)
+
+video_capture = cv2.VideoCapture('X:/video.mp4')
+
+list_avr = []
+f = 0
+
+red = 0
+blue = 0
+green = 0
+
+while True:
+    temp = []
+    # Capture frame-by-frame
+    ret, frame = video_capture.read()
+    img = cv2.resize(frame, (640, 480))
+    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+
+    faces = faceCascade.detectMultiScale(
+        img,
+        scaleFactor=1.1,
+        minNeighbors=5,
+        minSize=(30, 30),
+        #flags=cv2.cv.CV_HAAR_SCALE_IMAGE
+    )
+
+
+
+    # Draw a rectangle around the faces
+    for (x, y, w, h) in faces:
+        cv2.rectangle(img, (x, y), (x+w, y+h), (0, 255, 0), 2)
+    for i in range(x, x+w):
+        for j in range(y, y+w):
+            B, G, R = img[i, j]
+            red += R
+            blue += B
+            green += G
+    n = (x+w)*(y+w)
+    temp.append([int(red/n), int(green/n), int(blue/n)])
+    list_avr.append(temp)
+    temp = []
+    red = 0
+    green = 0
+    blue = 0
+    cv2.imshow('Video', img)
+
+    key = cv2.waitKey(1) & 0xFF
+    if key == ord('q') or cv2.getWindowProperty('Video', cv2.WND_PROP_VISIBLE) < 1:
+        break
+
+    f += 1
+print(len(list_avr))
+
+with open("X:/listRGB.txt", "w") as file:
+    # Write each item in the list to a new line in the file
+    for line in list_avr:
+        file.write(str(line) + "\n")
+
+# When everything is done, release the capture
+video_capture.release()
+cv2.destroyAllWindows()