diff --git a/ar_tag_pose/detector_board_main.py b/ar_tag_pose/detector_board_main.py
index 87b6b51..21f387c 100644
--- a/ar_tag_pose/detector_board_main.py
+++ b/ar_tag_pose/detector_board_main.py
@@ -154,6 +154,7 @@ class Detector(abc.ABC):
 		frame_num = 0
 		out = None
 		pose_center = True
+		rot = np.array([0,0,0])
 		while cap.isOpened():
 			if self.src_images:
 				cap.set(cv.CAP_PROP_POS_FRAMES, frame_num)
@@ -195,16 +196,19 @@ class Detector(abc.ABC):
 
 			k = 800 / img.shape[1]
 			y_pos = 30
+			alpha_rot = 0.3
 			for det in self.detector:
 				success, r_vec, t_vec = det.process(img, self.calibration, True, False, False, pose_center)
 				if success:
 					if len(self.rotation_order) == 3:
-						rot = to_euler(to_tf(r_vec, t_vec), rotation_order=self.rotation_order)
+						_rot = to_euler(to_tf(r_vec, t_vec), rotation_order=self.rotation_order)
+						rot = (1-alpha_rot)*rot + alpha_rot*_rot
 						self.print_angle(img, f"{str(det)}-{self.rotation_order}", rot, (30, int(y_pos/k)), self.rotation_order, 1./k)
 						y_pos += 30
 					else:
 						for rotation_order in ['XYZ', 'XZY', 'YXZ', 'YZX', 'ZXY', 'ZYX']:
-							rot = to_euler(to_tf(r_vec, t_vec), rotation_order=rotation_order)
+							_rot = to_euler(to_tf(r_vec, t_vec), rotation_order=rotation_order)
+							rot = (1 - alpha_rot) * rot + alpha_rot * _rot
 							self.print_angle(img,f"{str(det)}-{rotation_order}", rot, (30, int(y_pos/k)), rotation_order, 1./k)
 							y_pos += 30