diff --git a/bindings/python/examples/dnn/CMakeLists.txt b/bindings/python/examples/dnn/CMakeLists.txt
index 9543c6533..933274ab2 100644
--- a/bindings/python/examples/dnn/CMakeLists.txt
+++ b/bindings/python/examples/dnn/CMakeLists.txt
@@ -4,11 +4,11 @@ project(aditof-python-dnn)
 
 # Download MobileNetSSD_deploy prototxt and caffemodel
 set(PROTOTEXT_FILE "MobileNetSSD_deploy.prototxt")
-set(PROTOTEXT_URL "https://raw.githubusercontent.com/chuanqi305/MobileNet-SSD/f5d072ccc7e3dcddaa830e9805da4bf1000b2836/MobileNetSSD_deploy.prototxt")
+set(PROTOTEXT_URL "https://raw.githubusercontent.com/djmv/MobilNet_SSD_opencv/master/MobileNetSSD_deploy.prototxt")
 set(PROTOTEXT_PATH "${CMAKE_CURRENT_BINARY_DIR}/${PROTOTEXT_FILE}")
 
 set(MODEL_FILE "MobileNetSSD_deploy.caffemodel")
-set(MODEL_URL "https://drive.google.com/uc?export=download&id=0B3gersZ2cHIxRm5PMWRoTkdHdHc")
+set(MODEL_URL "https://github.com/djmv/MobilNet_SSD_opencv/blob/master/MobileNetSSD_deploy.caffemodel?raw=true")
 set(MODEL_PATH "${CMAKE_CURRENT_BINARY_DIR}/${MODEL_FILE}")
 
 
diff --git a/bindings/python/examples/dnn/dnn.py b/bindings/python/examples/dnn/dnn.py
index a93259473..8529e8a60 100644
--- a/bindings/python/examples/dnn/dnn.py
+++ b/bindings/python/examples/dnn/dnn.py
@@ -93,19 +93,25 @@ class ModesEnum(Enum):
     if not status:
         print("system.getAvailableModes() failed with status: ", status)
 
+    status = cameras[0].setMode(modes[ModesEnum.MODE_NEAR.value])
+    if not status:
+        print("cameras[0].setMode() failed with status: ", status)
+    
+    cameras[0].setControl("loadModuleData", "call")
+
     types = []
     status = cameras[0].getAvailableFrameTypes(types)
     if not status:
         print("system.getAvailableFrameTypes() failed with status: ", status)
-
-    status = cameras[0].setFrameType(types[0])
+    
+    status = cameras[0].setFrameType(types[2]) # types[2] is 'mp_pcm' type.
     if not status:
         print("cameras[0].setFrameType() failed with status:", status)
-
-    status = cameras[0].setMode(modes[ModesEnum.MODE_NEAR.value])
+    
+    status = cameras[0].start()
     if not status:
-        print("cameras[0].setMode() failed with status: ", status)
-
+        print("cameras[0].start() failed with status:", status)
+   
     camDetails = tof.CameraDetails()
     status = cameras[0].getDetails(camDetails)
     if not status:
@@ -115,8 +121,8 @@ class ModesEnum(Enum):
     smallSignalThreshold = 100
     cameras[0].setControl("noise_reduction_threshold", str(smallSignalThreshold))
 
-    camera_range = camDetails.maxDepth
-    bitCount = camDetails.bitCount
+    camera_range = 5000
+    bitCount = 9
     frame = tof.Frame()
 
     max_value_of_IR_pixel = 2 ** bitCount - 1
@@ -153,6 +159,7 @@ class ModesEnum(Enum):
 
         # Start the computations for object detection using DNN
         blob = cv.dnn.blobFromImage(result, inScaleFactor, (inWidth, inHeight), (meanVal, meanVal, meanVal), swapRB)
+        
         net.setInput(blob)
         detections = net.forward()
 
diff --git a/bindings/python/examples/dnn/readme.md b/bindings/python/examples/dnn/readme.md
index 5a8241417..2b3cf0de9 100644
--- a/bindings/python/examples/dnn/readme.md
+++ b/bindings/python/examples/dnn/readme.md
@@ -3,7 +3,7 @@
 ### Overview
 This example  demonstrates object detection on a combination between the depth frame and the IR frame using the SSD Mobilenet object detection example from OpenCV and the Aditof SDK. It also shows how to compute and display the IR frame.
 
-It works with model taken from [MobileNet-SSD](https://github.com/chuanqi305/MobileNet-SSD/). 
+It works with model taken from [MobileNet-SSD](https://github.com/djmv/MobilNet_SSD_opencv). 
 Building the project with CMake will download prototxt and caffemodel, used for object detection. 
 
 For running the python program use: