diff --git a/client/sbs_client2.py b/client/sbs_client2.py
deleted file mode 100644
index 0dc0bbf65a0e3830c7a35c15430ea9c2155ba6af..0000000000000000000000000000000000000000
--- a/client/sbs_client2.py
+++ /dev/null
@@ -1,65 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-Created on Tue Feb 20 21:33:57 2018
-
-@author: veskuh
-"""
-
-import cv2
-import requests
-from requests_toolbelt.multipart.encoder import MultipartEncoder
-import os
-
-# Haarcascade for face detection
-face_cascade = cv2.CascadeClassifier("./haarcascade/haarcascade_frontalface_default.xml")
-
-# Image file name and location
-image = "./images/image.jpg"
-
-
-# Sending image to server
-def sendImage(image):
-    # Send local image file to tensorflow-client 
-    multipart_data = MultipartEncoder(
-    fields={
-        # a file upload field
-        "image": ("image.jpg", open(image, "rb"), "image/jpg"),
-        "stop_code": "Test"
-       }
-    )
-    
-    requests.post("http://tensorflow.stop.capstone.utu.fi/api/v1/classifyImage/", data=multipart_data,
-              headers={"Content-Type": multipart_data.content_type})
-
-# Removing image for security purposes 
-def removeImage(image):
-    os.remove(image)
-
-# Taking a picture from default webcam and saving it
-def takePicture(image, face_cascade):
-    # Take picture
-    cap = cv2.VideoCapture(0)    
-    ret, frame = cap.read()
-    cv2.imwrite(image,frame)
-    cap.release()
-    
-    # Locate faces
-    image = cv2.imread(image)
-    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
-    faces = face_cascade.detectMultiScale(
-        gray,
-        scaleFactor=1.1,
-        minNeighbors=5,
-        minSize=(30, 30)
-    )
-    
-    return len(faces)
-
-facesDetected = takePicture(image, face_cascade)
-
-if facesDetected > 0:
-    print ("Faces detected: " + str(facesDetected))
-    sendImage(image)
-    removeImage(image)
-#
-#