You might have an idea for an application using AI and not have anyone to build it. You might be a programmer and want to try out your ideas and Azure Custom Vision before you start writing code. No matter what your coding skills are, if you want to prototype an application with AI, Power Platform and it's AI Builder feature is a fast and easy option.
This article explains what Power Platform is, as well as go through a step by step process to create an application that detects objects from photos using Power Apps and AI Builder. Check out the video below to see the app we will build to detect different Mixed Reality Headsets such as HoloLens version 1 and 2 Augmented Reality and Virtual Reality headsets and their hand controllers.
Power Platform is a set of tools, API's and SDK's that helps you analyze your data and build automations, applications and virtual agents with or without having to write any code.
Power Apps, allows you to create applications with a drag and drop UI and easy integration of your data and 3rd party APIs through connectors.
A connector is a proxy or a wrapper around an API that allows the underlying service to talk to Microsoft Power Automate, Microsoft Power Apps, and Azure Logic Apps. It provides a way for users to connect their accounts and leverage a set of pre-built actions and triggers to build their apps and workflows. For example, you can use the Twitter connector to get tweet data and visualize it in a dashboard or use the Twilio connector to send your users text messages without having to be an expert in Twitter or Twilio APIs or having to write a line of code.
What is AI Builder?
AI Builder is one of the additional features of Power Apps. With AI Builder, you can add intelligence to your apps even if you have no coding or data science skills.
You can use pre-trained models to:
Great question! There are so many tools out there and many ways to do the same thing. How do you know which one is the right solution before investing time and effort?
I have a rule of thumb when I want to build something, use whatever is available and easy to use first. When your needs exceed what the tool you are using covers, look into another solution or building it yourself.
Use the tool easiest to get started when you are building your idea. When your needs exceed the capabilities of the tool you are using, find a solution that enables you. Don't invest in building things from scratch before you know it is worth it to do so.
For example, if you have an app idea, it is better to have a prototype running as easily as possible. You can test your ideas before investing your time into building custom designed UI or features. In our specific case, you can first prototype your app with the drag and drop UI of Power Apps and using prebuilt AI models. When your specific needs surface, such as recognizing a particular object or keyword, you can invest your time into creating your custom models to train for the object or keyword detection.
Yes you can. As any tool that does things magically, AI Builder in Power Apps comes with a cost. That does not mean you can't try your ideas out for free.
If you want to go to production with Power Apps, it is a good idea to consider the costs. Thankfully there is an app for that. AI Builder Calculator lets you input what AI tools you will need and how many users will be accessing your app's AI features and gives you the price it will cost you.
AI Builder was released for public preview on June 10, 2019 in Europe and the United States. Preview release features are subject to change and may have restricted functionality before the official release for general availability. Preview releases are not meant for production use. You can try them out and influence the final product by giving feedback.
The General Availability (GA) release will occur in a phased manner, with some features remaining in preview status while others are released for GA. You can check out the release status on the AI Builder documentation.
AI Builder Object detection is an AI model that you can train to detect objects in pictures. AI models usually require that you provide samples of data to train before you are able to perform predictions. Prebuilt models are pre-trained by using a set of samples that are provided by Microsoft, so they are instantly ready to be used in predictions.
Object detection can detect up to 500 different objects in a single model and support JPG, PNG, BMP image format or photos through the Power Apps control.
You can try out and see how object detection works before having to create and accounts or apps yourself on the Azure Computer Vision page.
Object counting and inventory management
Brand logo recognition
Wildlife animal recognition
Name your new AI model with a unique name. Select Common Objects and proceed to next section.
Getting the best model performance for your business can be an iterative process. Results can vary depending on the customizations you make to the model, and the training data you provide.
To help facilitate this process, AI Builder allows you to have multiple versions of your model so you can use your model and continue to improve it at the same time.
Use images of objects in varied sizes. Different sizing helps the model generalize better.
Use images taken from different angles. If all your photos are from a set of fixed cameras such as surveillance cameras, assign a different label to each camera. This can help avoid modeling unrelated objects such as lampposts as the key feature. Assign camera labels even if the cameras capture the same objects.
By default, only you can see the models you create and publish. This feature allows you to test them and use them within apps and flows without exposing them.
If you want others to use your model, you can share it with specific users, groups, or your whole organization.
Once you are happy with your model's performance, you can add it to a new app by choosing Use model and New app.
You will be redirected to Power App editor and an Object Detection component that uses your model will be added automatically. In the editor, you can add new pages to navigate, design and customize your pages.
Once you are happy with the design, you can publish and share your app. You can use your new app by downloading Power Apps from Apple, Android or Microsoft stores. Once you sign in, your app will be listed in the mobile Power Apps.
Now you have your app's prototype, you can add more features, get feedback and test your app.
When your needs change, you can consider refactoring your application to a serverless backend and a custom built UI. If the app is working fine for you and your users, you can continue using and improving overtime using Power Apps.
What would be the changes that require the upgrade? There are two possibilities for the changed requirements for your app:
Ready made tools are always limited to the features the product team decides to include. If you are writing custom code, you can add any feature that you need. Thankfully, for the features that are not implemented yet, it is always possible to author a custom connector that you can use with or without Power Apps.
A connector is a proxy or a wrapper around an API that allows the underlying service to talk to Microsoft Power Automate, Microsoft Power Apps, and Azure Logic Apps. It provides a way for users to connect their accounts and leverage a set of pre-built actions and triggers to build their apps and workflows.
Once you start using your app, you will have a better idea about the number of users accessing AI capabilities and the number of images that you need to train. You can use AI Builder Cost Calculator and Logic App Cost Calculator to compare options. You can check any other service price through Azure Product Cost Calculator.
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