diff --git a/Camera_test/faceDetectionAI.py b/Camera_test/faceDetectionAI.py
new file mode 100644
index 0000000..3a3c1f2
--- /dev/null
+++ b/Camera_test/faceDetectionAI.py
@@ -0,0 +1,61 @@
+import cv2
+
+def draw_square(frame, faces, color):
+	for (x, y, w, h) in faces:
+		face_region = frame[y:y+h, x:x+w]
+		cv2.rectangle(frame, (x, y), (x + w, y + h), color, 1)
+	return frame
+
+
+video_capture = cv2.VideoCapture(0)
+face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
+side_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_profileface.xml")
+detected_faces = []
+detected_profiles = []
+
+
+ret, frame = video_capture.read()
+if ret:
+	frameH, frameW = frame.shape[:2]
+
+
+while True:
+	ret, frame = video_capture.read()
+	if not ret:
+		break
+
+	gray_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+	faces = face_cascade.detectMultiScale(gray_frame, scaleFactor=1.1, minNeighbors=5, minSize=(30, 30))
+	detected_faces = faces
+	faces = side_cascade.detectMultiScale(gray_frame, scaleFactor=1.1, minNeighbors=5, minSize=(30, 30))
+	detected_profiles = faces
+
+	target = [0, 0, 0, 0]
+	if len(detected_faces) != 0 :
+		for face in detected_faces :
+			if face[3] > target[3] :
+				target = face
+	
+	print(f"{target[3]}")
+
+	# print(f"midH={frameH} midW={frameW} {len(detected_faces)} {len(detected_profiles)} ")
+
+	frame = draw_square(frame, detected_faces, (0, 255, 0))
+	frame = draw_square(frame, detected_profiles, (255, 0, 0))
+
+	if len(detected_faces) != 0 :
+		targetX = int (target[0] + (target[2] / 2))
+		targetY = int (target[1] + (target[3] / 2))
+	else :
+		targetX = int (frameW / 2)
+		targetY = int (frameH / 2)
+	cv2.rectangle(frame, (targetX, targetY), (targetX + 2, targetY + 2), (0, 0, 255), 1)
+
+	cv2.imshow("Faces", frame)
+
+	if cv2.waitKey(1) != -1:
+		break
+
+
+video_capture.release()
+cv2.destroyAllWindows()