TM&B review

Author: IanXSmith

IWB/AdvancedPluginDevelopment.md

@@ -1,6 +1,6 @@
 # Enhancing the Intel Unite® Plugin and Integrating it with external solutions
 ## Lab Overview
-In the previous lab a sample Intel Unite® Plugin is developed to display Toast messages on the hub. In this lab, the functionality of sample plugin is enhanced to capture the no. of users connected to and presenting on the Intel Unite® hub. Also, the integration of the plugin with OpenVINO™ toolkit is covered here.
+In the previous lab a sample Intel Unite® plugin is developed to display Toast messages on the hub. In this lab, the functionality of sample plugin is enhanced to capture the no. of users connected to and presenting on the Intel Unite® hub. Also, the integration of the plugin with Intel® Distribution of OpenVINO™ toolkit is covered here.
 
 
 ## Flow Diagram
@@ -16,12 +16,12 @@ In the previous lab a sample Intel Unite® Plugin is developed to display Toast
 
 ## Tasks to be done
 - Enhancing the sample plugin UI for additional functionalities
-- Capturing the Intel Unite® session data using Intel Unite® Plugin SDK
-- Developing an external widget solution based on OpenVINO™ Toolkit       
-- Intel Unite® Plugin integration with the external widget solution
+- Capturing the Intel Unite® software session data using Intel Unite® Plugin SDK
+- Developing an external widget solution based on Intel® Distribution of OpenVINO™ toolkit       
+- Intel Unite® plugin integration with the external widget solution
 
 ### Enhancing the sample plugin UI for additional functionalities
-The plugin can be customized using various options provided in the Intel Unite® Plugin SDK.
+The plugin can be customized using various options provided in the Intel Unite® plugin SDK.
 - Replace #TODO:  Declare attributes for advanced plugin
 - Paste the following lines
 ```c
@@ -40,8 +40,8 @@ uiElementGroup.UIElements.Add(new PluginUIElement(new Guid(LAUNCHAPP), UIElement
 uiElementGroup.UIElements.Add(new PluginUIElement(new Guid(CLOSEAPP), UIElementType.Button, "Close Analytics", "", ResourceToBytes(new Uri("/AttendeeAnalyticsPlugin;component/close.png", System.UriKind.Relative))));
 ```
 
-###  Capturing the Intel Unite® session data  using Intel Unite® Plugin SDK
-To dive deep, the real time application data of the Intel Unite® can be captured using the CFCPlugin library. The ```UserEventArgs``` object holds list of CurrentUsers. ```e.CurrentUsers.count``` gives the no. of Unite® clients connected to the hub. Using the CFCPlugin, no. of users presenting desktop can be captured.
+###  Capturing the Intel Unite® software session data  using Intel Unite® plugin SDK
+To dive deep, the real time application data of the Intel Unite® software can be captured using the CFCPlugin library. The ```UserEventArgs``` object holds list of CurrentUsers. ```e.CurrentUsers.count``` gives the no. of Unite® clients connected to the hub. Using the CFCPlugin, no. of users presenting desktop can be captured.
 - Replace #TODO: fetch Intel Unite application data
 - Paste the following lines
 ```c
@@ -68,14 +68,14 @@ The above captured data are to be saved in JSON format for integration with exte
 str = "{\"usersConnected\":" + e.CurrentUsers.Count + ",\n\"usersPresenting\":" + GetNoOfPresenters(e) + ",\n\"timestamp\":\"" + DateTime.Now.ToString("h:mm:ss") + "\"}";
 System.IO.File.WriteAllText(filepath, str);
 ```
-### Developing an external widget solution based on OpenVINO™ Toolkit
-The external widget solution that is being developed will fetch data from the two different applications, OpenVINO™ Toolkit application and the Intel Unite® plugin application.
+### Developing an external widget solution based on Intel® Distribution of OpenVINO™ toolkit
+The external widget solution that is being developed will fetch data from the two different applications, Intel® Distribution of OpenVINO™ toolkit application and the Intel Unite® plugin application.
 
 On the hub, run interactive_face_detection_sample.exe which is at the path, ***C:\Users\intel1672\Desktop\Retail\05-OpenVINO\deployment_tools\inference_engine\bin\intel64\Debug***
 
 Create a python file as Widget.pyw in the path ***C:\Users\intel1672\Desktop\Retail\05-OpenVINO***.
 
-This python application reads the live data generated by Intel Unite® plugin and interactive_face_detection_sample application and performs analytics on the data to calculate number of Intel Unite® connections, no. of males, no. of females present in the room and no. of people looking at the hub camera. Using this information, the application plots a graph of attentivity index. Attentivity index is the no. of people attentive in the meeting room i.e., the no. of people watching the presentation. This python application captures these values and plots a bar for every 1 minute. The application displays this information on the hub which can be seen by all the participants in the meeting. Any Client connected to this hub can launch or close this widget during the session.
+This python application reads the live data generated by Intel Unite® plugin and interactive_face_detection_sample application and performs analytics on the data to calculate number of Intel Unite® software connections, no. of males, no. of females present in the room and no. of people looking at the hub camera. Using this information, the application plots a graph of attentivity index. Attentivity index is the no. of people attentive in the meeting room i.e., the no. of people watching the presentation. This Python* application captures these values and plots a bar for every 1 minute. The application displays this information on the hub which can be seen by all the participants in the meeting. Any Client connected to this hub can launch or close this widget during the session.
 
 Paste the following code.
 ```c
@@ -319,5 +319,5 @@ In the client application, click on the Attendee Analytics plugin.
 The code for this solution is available [here](./solutions/AdvancedPluginSolution.md)
 
 ## Lesson Learnt
-- Understanding the capabilities of Intel Unite® Plugin
-- Integration of the plugin with external solution based on OpenVINO™ toolkit
+- Understanding the capabilities of Intel Unite® plugin
+- Integration of the plugin with external solution based on Intel® Distribution of OpenVINO™ toolkit