Creating a Point Detection Application
  • 08 Feb 2024
  • 2 Minutes to read
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Creating a Point Detection Application

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Article summary

36 STEPS

1. The first step is to open Cogniac homepage and click Point Detection from the Vision AI ApplicationsYou may notice many different options but for now we will select Point Detection under Vision AI Applications.

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2. Click No Feedback

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3. Click Quit

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4. Click Name textbox to update the name of the Point Detection Application.

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5. Type the Name of the Point Detection application. When naming the application, it is important to name it something meaningful that directly relates to the application purpose.

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6. Click Next once you have chosen the application name.

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7. Type Input Subjects name. Again please consider a name that will help you differentiate the Input Subject in the future and will be related with the Subject Of Interest displayed in the image. In current scenario we have chosen it to be animals.

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8. Click Create a new subject in the current case scenario named animals

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9. Click Next blue button in the end of the page, so you can proceed to the Output Subjects page

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10. The Output Subject of the Point Detection application is where you will find the labeled and sorted images. Usually the Output Subject gets populated with media (images/ videos) after successful Training of the Application. 

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11. Select the text field to Enter a subject name 

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12. Click Create a new subject in the current case scenario, named as cat

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13. Type Enter a subject name

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14. Click Create a new subject in the current case scenario, named as dog

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15. Click Next

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16. Click Frames per Second Requirement to select a value.

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17. Type Frames per Second Requirement in a numeric format

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18. Scroll down and click Complete

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19. Select the Input Subject which is always displayed in the beginning of the Application pipeline. In our case it is called 'animals'.

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20. Click Upload Media to add the initial Dataset to to the Input Subjects. Once it has been uploaded to the Input Subjects, the Media goes for training by the User.

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21. Click select files or select folder to upload the initial Dataset of images/ videos to the Input Subjects of the Point Detection Application

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22. Click Next once you have selected the files or the folder containing the Media

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23. Click Upload

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24. Click on the Application Name in our case it is 'animals-point-detection app' 

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25. Click Replays, so you can provide more feedback, since the Training is a continuous process of uploading images and Providing Feedback. 

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26. Select the Input Subject. In current scenario it is animals_9qfifq.

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27. Select the Probability filter and adjust it from the beginning.

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28. Scroll down and select the Force Feedback option which will enforce the Feedback, and will populate the Feedback queue.

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29. Click Replay Subjects

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30. Click No Feedback 

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31. Click Done, once you have selected the Subject Of Interest around the point.

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32. Click Done

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33. Click Confirm

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34. Click Quit

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35. During providing feedback there are also: BackSideline and Skip options.

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36. That's it. You're done.

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Here's an interactive tutorial

** Best experienced in Full Screen (click the icon in the top right corner before you begin) **

https://www.iorad.com/player/2274866/Cogniac---How-to-create-a-Point-Detection-App


I. Introduction

Point detection applications in computer vision AI are helpful when it is necessary to identify and locate specific points or landmarks within images or video streams.

II. Use-cases

The Point Detection application is used to detect output subjects in an image localized around a point. This application can be used in various fields such as manufacturing, gambling business, and medical imaging. For instance, in medical imaging it can help in identifying and locating anatomical landmarks, tumors, or other structures, which can aid in diagnosis and treatment planning.

III. Possible issues:

However, some issues can arise while using the app. For example, blurry or poor-quality media can affect the app's performance. Similarly, media captured from different angles may also cause issues while using the app.


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