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The Sweethearting at checkout detection module is configured on the settings panel of the Sweethearting at checkout detection object created under object created on the basis of the Camera object on the Hardware tab of the System settings dialog box.

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1. Go to the settings panel of the Sweethearting at checkout detection module.
2. Click the Settings button (1).
   
   The Detection settings window will open.
   
   1. Specify the area of interest of the detection:
      1. Go to the Select area tab (1).
      2. Click Click the Stop video  button (2) to capture the video image.
      3. Click Click the Area of interest  button (3).

      4. Specify the area of interest in the captured video image to be analyzed (4). The selected area must comply with Camera and camera settings requirements for the Sweethearting detection module .

         Info
         title Note
         Only one area can be specified. If the second area is specified, then the first area will be deleted. To remove a selected area, click the  button next to the Area of interest button.

         
         

   2. Go to the Parameters tab (5) and perform do the following actions:
      

   3. Specify In the detection sensitivity in the range from Detection sensitivity (0.0 to - 1.0) field (6), specify the detection sensitivity in the Detection sensitivity (range from 0.0 - to 1.0) parameter (6).

      Info
      title Note
      The detection sensitivity value is selected experimentally. The lower the sensitivity, the greater the probability of false positives. The higher the sensitivity, the less chance of false alarms, however, some useful tracks may be skipped.

      
      

   4. In the Frames processed per second (0.016-100) field (7), set the number of frames per second that will be processed by the detection tool. Default value is 12.

   5. Click the OK button (8Click OK (7) to save the changes and return to the settings panel of the Sweethearting at checkout detection object.

      Info
      title Note
      To return to the control settings panel of the Sweethearting at checkout detection without without saving the changes, click the Cancel button.

      
      

3. If you use a unique neural network, select a neural network file with the hand recognition in the frame (2) and goods recognition in the frame (3) tracking model. It is not necessary to select standard neural networks in this field, the system will automatically select the required one. Standard neural networks are located in the C:\Program Files (x86)\Intellect\Modules64\caffewrapper\Networks directory:

   dpe_224_2cl_hands_v6_50k.ann	Neural network file with the hand recognition in the frame tracking model
   dpe_224_2cl_product_v6_122_5k.ann	Neural network file with the goods recognition in the frame tracking model

   
   

4. In the Device drop-down list (4), select the device where on which the neural network will operate.
5. Click the Apply button (5).

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