diff --git a/Python/deteksiwarna.py b/Python/deteksiwarna.py
new file mode 100644
index 0000000..4b7a5f7
--- /dev/null
+++ b/Python/deteksiwarna.py
@@ -0,0 +1,40 @@
+from cv2 import cv2
+import numpy as np
+
+# Capturing Video through webcam.
+cap = cv2.VideoCapture(0)
+
+while(1):
+    _, img = cap.read()
+
+    # converting frame(img) from BGR (Blue-Green-Red) to HSV (hue-saturation-value)
+    hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
+
+    # defining the range of Yellow color
+    red_lower = np.array([0, 100, 100], np.uint8)
+    red_upper = np.array([2, 255, 255], np.uint8)
+    red = cv2.inRange(hsv, red_lower, red_upper)
+
+    # Morphological transformation, Dilation
+    kernal = np.ones((5, 5), "uint8")
+    res = cv2.bitwise_and(img, img, mask=red)
+
+    # Tracking Colour (Yellow)
+    (contours, hierarchy) = cv2.findContours(
+        red, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
+
+    for pic, contour in enumerate(contours):
+        area = cv2.contourArea(contour)
+        if(area > 900):
+
+            x, y, w, h = cv2.boundingRect(contour)
+            img = cv2.rectangle(img, (x, y), (x+w, y+h), (255, 0, 0), 3)
+
+    # show color detection result
+    cv2.imshow("Color Tracking", img)
+    cv2.imshow("Red", res)
+
+    if cv2.waitKey(10) & 0xFF == 27:
+        cap.release()
+        cv2.destroyAllWindows()
+        break