diff --git a/generate_marker.py b/generate_marker.py
new file mode 100644
index 0000000..4386160
--- /dev/null
+++ b/generate_marker.py
@@ -0,0 +1,11 @@
+import cv2 as cv
+import numpy as np
+
+# Load the predefined dictionary
+dictionary = cv.aruco.Dictionary_get(cv.aruco.DICT_6X6_250)
+
+# Generate the marker
+markerImage = np.zeros((200, 200), dtype=np.uint8)
+markerImage = cv.aruco.drawMarker(dictionary, 33, 200, markerImage, 1)
+
+cv.imwrite("./markers/marker33.png", markerImage)
diff --git a/main.py b/main.py
new file mode 100644
index 0000000..6bfa11e
--- /dev/null
+++ b/main.py
@@ -0,0 +1,25 @@
+import cv2 as cv
+import numpy as np
+import pandas as pd
+
+if __name__ == '__main__':
+    cap = cv.VideoCapture('./test.mp4')
+    while True:
+        success, image = cap.read()
+        if image is None:
+            break
+        key = cv.waitKey(1) & 0xFF
+        if (key == 27) or (key == ord('q')):
+            break
+        if success:
+            dictionary = cv.aruco.Dictionary_get(cv.aruco.DICT_6X6_250)
+            parameters = cv.aruco.DetectorParameters_create()
+            markerCorners, markerIds, rejectedCandidates = cv.aruco.detectMarkers(image,
+                                                                                  dictionary,
+                                                                                  parameters=parameters)
+            if markerIds is not None:
+                coords = list(np.mean(markerCorners[0], axis=1)[0].astype('int'))
+                image = cv.circle(image, coords, 20, (255, 0, 0), -1)
+            cv.imshow("original", image)
+        else:
+            continue
diff --git a/markers/marker31.png b/markers/marker31.png
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diff --git a/markers/marker32.png b/markers/marker32.png
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diff --git a/markers/marker33.png b/markers/marker33.png
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