Configuring the Sweethearting at checkout detection module

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

The Sweethearting at checkout detection module is configured as follows:

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 Stop video (2) to capture the video image.
      3. Click Area of interest (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 .

         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 the following actions:
      

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

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

      Note

      To return to the control panel of the Sweethearting at checkout detection without saving changes, click Cancel.

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)\Axxon PSIM\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 the neural network will operate.
5. Click the Apply button (5).

The Sweethearting at checkout detection module is now configured.