diff --git a/examples/blinkdet/blinkdet.go b/examples/blinkdet/blinkdet.go
index 53244fd..ee90aab 100644
--- a/examples/blinkdet/blinkdet.go
+++ b/examples/blinkdet/blinkdet.go
@@ -92,7 +92,7 @@ func clusterDetection(pixels []uint8, rows, cols int) []pigo.Detection {
 		Dim:    cols,
 	}
 	cParams := pigo.CascadeParams{
-		MinSize:     200,
+		MinSize:     260,
 		MaxSize:     640,
 		ShiftFactor: 0.1,
 		ScaleFactor: 1.1,
diff --git a/examples/blinkdet/blinkdet.py b/examples/blinkdet/blinkdet.py
index 4532214..4a3f8c2 100644
--- a/examples/blinkdet/blinkdet.py
+++ b/examples/blinkdet/blinkdet.py
@@ -12,6 +12,8 @@ os.system('rm blinkdet.so')
 
 MAX_NDETS = 2024
 ARRAY_DIM = 6
+# Number of consecutive frames the eye must be below the threshold
+EYE_CLOSED_CONSEC_FRAMES = 8
 
 # define class GoPixelSlice to map to:
 # C type struct { void *data; GoInt len; GoInt cap; }
@@ -20,7 +22,7 @@ class GoPixelSlice(Structure):
 		("pixels", POINTER(c_ubyte)), ("len", c_longlong), ("cap", c_longlong),
 	]
 
-# Obtain the camera pixels and transfer them to Go trough Ctypes.
+# Obtain the camera pixels and transfer them to Go trough C types.
 def process_frame(pixs):
 	dets = np.zeros(ARRAY_DIM * MAX_NDETS, dtype=np.float32)
 	pixels = cast((c_ubyte * len(pixs))(*pixs), POINTER(c_ubyte))
@@ -58,6 +60,8 @@ time.sleep(0.4)
 
 showPupil = True
 showEyes = False
+counter = 0
+posFaceY = 0
 
 while(True):
 	ret, frame = cap.read()
@@ -72,6 +76,7 @@ while(True):
 			# We know that the detected faces are taking place in the first positions of the multidimensional array.
 			for det in dets:
 				if det[4] == 1: # 1 == face; 0 == pupil
+					posFaceY = det[1]
 					cv2.rectangle(frame, 
 							(int(det[1])-int(det[2]/2), int(det[0])-int(det[2]/2)), 
 							(int(det[1])+int(det[2]/2), int(det[0])+int(det[2]/2)), 
@@ -81,27 +86,36 @@ while(True):
 					if showPupil:
 						x1, x2 = int(det[0])-int(det[2]*1.2), int(det[0])+int(det[2]*1.2)
 						y1, y2 = int(det[1])-int(det[2]*1.2), int(det[1])+int(det[2]*1.2)
-						subimg = frame[x1:x2, y1:y2]
-
+						subimg = frame[x1:x2, y1:y2]						
+						
 						if subimg is not None:
 							gray = cv2.cvtColor(subimg, cv2.COLOR_BGR2GRAY)
-							img_blur = cv2.medianBlur(gray, 3)
+							img_blur = cv2.medianBlur(gray, 1)
 
 							if img_blur is not None:
 								max_radius = int(det[2]*0.45)
 								circles = cv2.HoughCircles(img_blur, cv2.HOUGH_GRADIENT, 1, int(det[2]*0.3), 
-									param1=60, param2=18, minRadius=4, maxRadius=max_radius)
+									param1=60, param2=21, minRadius=4, maxRadius=max_radius)
 								
 								if circles is not None:
 									circles = np.uint16(np.around(circles))
 									for i in circles[0, :]:
-										if i[2] < max_radius and i[2] > 0:
-											# Draw outer circle
-											print(i)
-											cv2.circle(frame, (int(det[1]), int(det[0])), i[2], (0, 255, 0), 2)
+										if i[2] < max_radius and i[2] > 0:										
+											# Draw outer circle																					
+											cv2.circle(frame, (int(det[1]), int(det[0])), i[2], (0, 255, 0), 2)										
 											# Draw inner circle
 											cv2.circle(frame, (int(det[1]), int(det[0])), 2, (255, 0, 255), 3)
-											
+								else:
+									counter += 1
+									if counter > EYE_CLOSED_CONSEC_FRAMES:
+										if posFaceY < y1:
+											cv2.putText(frame, "Left blink!", (10, 30),
+												cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)
+										else:
+											cv2.putText(frame, "Right blink!", (frame.shape[1]-150, 30),
+												cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)
+										counter = 0
+																							
 						cv2.circle(frame, (int(det[1]), int(det[0])), 4, (0, 0, 255), -1, 8, 0)
 
 					if showEyes: