Another feature AI Builder in Power Automate offers is the ability to recognize objects in an image. This time we’re going to look at how to set up AI Builder to identify dice.
This time round I’m going to delve into Power Automate Desktop (PAD). PAD is a service that allows you to perform activities on a local machine as part of a flow. It’s a service that used to require an extra subscription cost, but it’s now available to everyone included with whatever tier of Power Automate you currently have.
There are any number of reasons why you might want to start or stop your Azure App Service based on other factors. And while there are a number of ways to accomplish this, this time we’re going to cover how to do it in Power Automate with the press of a single button.
In a previous post, we learned how to trigger a Power Automate flow by calling an HTTP endpoint. The best part of this trigger is that it allows you to trigger your flow from anywhere on the internet, be it an application or right in your browser. The trouble is, there isn’t security for that endpoint ‘out of the box’. Anyone who knows the endpoint’s URI can call it. So how do you secure that endpoint so that only someone who is authorized to call the endpoint can get it to run?
MVC is a mess. Controllers in one folder, views in another, services in another, models and viewmodels in yet other folders. Related files are all over the place. Trying to piece together these related pieces can be a real pain. Steve ‘ardalis’ Smith has come up with another way: ASP.NET Core API Endpoints
“What better way to celebrate this C# Advent on a Friday, the 13th, than to talk about the nightmare that is web development. Devs have more ways than ever to write applications for the web. And now, into the vast wasteland of web development, rides Blazor.
This time, in our continuing adventures with Microsoft Flow and the Azure Cognitive Services Computer Vision API, we’re using the Vision API to tag image files. The flow will pass the Vision API image files from OneDrive and update the image files with the list of auto-generated meta tags the service returns to us.
Last time we looked at generating thumbnail images via the Vision Service. This time we’re going to look at using the service to get text out of a photograph of a document utilizing the the Vision Service’s Optical Character Recognition (OCR) process.