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Image Analysis feature in Dynamics NAV 2018

In Dynamics NAV 2018, the Image Analyzer extension uses the Computer Vision API to analyze images that are attached to contact persons and items.

For example, this is useful for items because it lets you build up a stockpile of metadata about what you sell and use it to fine-tune search results when someone is browsing your web shop.

Image Analyzer is free in Dynamics NAV, but there is a limit to the number of items that you can analyze during a certain period of time. By default, you can analyze 100 images per month.

After you enable the extension, Image Analyzer runs each time you import an image to an item or contact person. You will see the attributes, confidence level, and details right away, and can decide what to do with each attribute. If you imported images before you enabled the Image Analyzer extension, you must go to the item or contact cards and choose the Analyze Picture action.

Requirements

There are a few requirements for the images:

  • Image formats: JPEG, PNG, GIF, BMP
  • Maximum file size: Less than 4 MB
  • Image dimensions: Greater than 50 x 50 pixels

How to enable Image Analyzer

To enable the Image Analyzer extension, do one of the following:

Method-1 : Open an item or contact card. In the notification bar, choose Analyze Images, and then follow the steps in the assisted setup guide.

 

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This will launch Image Analyser assisted setup guide, follow the step.

 

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Once you are done It will import your image for Analysing.

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Method-2 : Access the Service Connections, and then choose Image Analysis Setup.

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Choose the Enable Image Analyzer check box, and then complete the steps in the assisted setup guide.

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For URL and Key follow these steps:

Click on Computer Vision API Documentation

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Click on Try Computer Vision API

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Select your API Computer Vision API and then Get API Key

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Agree to T & C select your Country/Region and then Next

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Sign-In with the preferred account sign-in method

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Once done you will land on page which will have your Endpoint URL and Key

You must add /analyze at the end of the API URI, if it isn’t already there.

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Enter your Endpoint URL and Key and close the window.

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Now you import your Image, or select Analyze Picture if already imported

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This will analyze the Image and provide you with the Attributes.

The Image Analyzer Attributes page displays the detected attributes, the confidence level, and other details about the attribute. Use the Action to perform options to specify what to do with the attribute.

 

This is how you enable and configure your Image Analyzer Service.

 

To see how many analyses you have left in the current period

You can view the number of analyses you’ve done, and how many you can still do, in the current period.

Enter Image Analyzer Setup, and then choose the related link.

The Limit type, Limit value, and Analyzes performed provide the usage information.

 

To stop using the Image Analyzer extension

Enter Service Connections, and then choose Image Analyzer Setup.

Clear the Enable Image Analyzer check box.

 

I will come with more details as I proceed.

 

 

 

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App for Power BI REST APIs for Streaming Data

In this post we will see how to create app to use the Power BI REST APIs for Streaming Data.

Full documentation: https://powerbi.microsoft.com/documentation/powerbi-service-real-time-streaming/

To run this app follow the steps discussed in my previous post: [Real-Time Dashboard Tile & Streaming Dataset– in Power BI]

Summary as below:

  1. Go to app.powerbi.com
  2. Go to streaming data management page by via new dashboard > Add tile > Custom Streaming Data > manage data
  3. Click “Add streaming dataset”
  4. Select API, then Next, and give your streaming dataset a name
  5. Add a field with name “Customer ID”, type Number
  6. Add a field with name “Customer Name”, type Text
  7. Add a field with name “Sales Value”, type Number
  8. Click “Create”
  9. Copy the “push URL” and paste it as the value of “realTimePushURL” in below app

We will start with new project in Visual Studio.

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Create a new Visual C# Console Application.

Open the Program.cs File and write a code as shown below.

This app Uses the WebRequest sample code as documented here: https://msdn.microsoft.com/en-us/library/debx8sh9(v=vs.110).aspx

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For your easy here is the code of Program.cs below:

 

using System;

using System.Collections.Generic;

using System.Linq;

using System.Text;

using System.Threading.Tasks;

using System.Net;

using System.IO;

 

namespace RealTimeStreaming

{

class Program

{

// Paste your own push URL below as obtained from while creating Streaming Dataset and saved in step 9 above

private static string realTimePushURL = “https://api.powerbi.com/beta/4e7ca966-123e-4ce7-9833-3e858854b98f/datasets/7d154cd7-11e0-4d5e-9569-12fa3f82f224/rows?key=mD1nkJOf426PjPPaEQsW9xEg%2FN1EENQ2hRZvXIpHr%2BTXNk3XQpKsR2Jbe5CATiMoLmxjlzSp%2FIMlbe9HL8G4xQ%3D%3D”;

static void Main(string[] args)

{

while (true) { //Set Infinite Loop

try

{

// Declare values that we will be sending

Random r = new Random();

int currentValue = r.Next(0, 100);

String Name = “Dummy Name”;

// Send POST request to the push URL

WebRequest request = WebRequest.Create(realTimePushURL);

request.Method = “POST”;

 

//Here you will retrieve the data from the source and format as per the request.

//In this example we are sending Random Value generated by above code for testing purpose.

string postData = String.Format(“[{{ \”Customer ID\”: {0}, \”Sales Value\”:{1} }}]”, currentValue,currentValue);

Console.WriteLine(String.Format(“Making POST request with data: {0}”, postData));

 

// Prepare request for sending

byte[] byteArray = Encoding.UTF8.GetBytes(postData);

request.ContentLength = byteArray.Length;

// Get the request stream.

Stream dataStream = request.GetRequestStream();

// Write the data to the request stream.

dataStream.Write(byteArray, 0, byteArray.Length);

// Close the Stream object.

dataStream.Close();

// Get the response.

WebResponse response = request.GetResponse();

// Display the status.

Console.WriteLine(String.Format(“Service response: {0}”, ((HttpWebResponse)response).StatusCode));

// Get the stream containing content returned by the server.

dataStream = response.GetResponseStream();

// Open the stream using a StreamReader for easy access.

StreamReader reader = new StreamReader(dataStream);

// Read the content.

string responseFromServer = reader.ReadToEnd();

// Display the content.

Console.WriteLine(responseFromServer);

// Clean up the streams.

reader.Close();

dataStream.Close();

response.Close();

}

catch (Exception ex)

{

Console.WriteLine(ex);

}

// Wait 5 second before sending

System.Threading.Thread.Sleep(5000);

} //Infinite Loop ends here.

}

}

}

Compile and Run the Program.

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Leave the Program Running and switch to Power BI dashboard. You will see your newly created Tile in previous post will be displaying the Random Value generated by this program updating every 5 seconds.

That’s all with little tweaking to this program you can fetch your data and send the updated data to your Real Time Streaming Dataset.

That’s end to this post.

I will come up with more details in my upcoming posts.

Till then keep Exploring and learning.

 

 

Real-Time Dashboard Tile & Streaming Dataset– in Power BI

Power BI have introduced real-time dashboard tiles – a lightweight, simple way to get real-time data onto your dashboard. Real-time tiles can be created in minutes by pushing data to the Power BI REST APIs or from streams you’ve created in Azure Stream Analytics or PubNub, a popular real-time streaming service. Let’s see how we can do in no time.

Login to your Power BI using your credentials.

Go to your dashboard where you wish to add Real Time Streaming Tile, choose “Add a tile”

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Select the “Custom streaming data” option

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Click on Next.

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At first usage you may not be having Streaming Dataset, if you have List will be shown.

Let’s create one for our Example, Click the link – Manage Data.

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Click on Add Streaming Dataset.

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From New Streaming Dataset, Select API and click on Next.

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Add your Dataset Name, Fields and Datatypes.

Once you are done, Click on Create.

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Copy your Push URL, we will require this to push data to Data Stream.

Click On Done.

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Returning to our Previous Step, Now we can see Streaming Dataset Available.

Select your Dataset and Click on Next.

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Select the Type of Visualization you want, and Fields to display.

Click on Next.

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Give Title, Subtitle to your Tile and click on Apply.

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Bravo, you are done, your Tile will be added on your Dashboard.

But hold on, the Value will not come until you add logic to push data to the Tile.

Now we will move to our Next Step, where we will create a program to call Power BI REST API and push Streaming data to our Dashboard. Checkout my next post for same. [App for Power BI REST APIs for Streaming Data]

Till then keep Exploring & Learning. I will return soon with my next post.

 

Important

Most of the contents you find in this blog will be either inherited from MSDN or Navision Developer IT Pro Help. Some places images are also directly taken from these sites. Purpose is simple to try those stuffs and re-produce adding few things as per my understanding to make easy understanding for others and quick reference.

Here nothing under my own brand or authorship of the content. At any point of time we are just promoting Microsoft stuffs nothing personnel with same.

Hope stuffs used here will not violate any copyright agreement with them. In case by mistake or in-intestinally it happens and the Microsoft feels these should not be used Microsoft have full right to inform me about same and will be glad to take down any such content which may be violating the norms.

Purpose is to promote Navision and share with community.

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