Enhancing Face Matching Accuracy with Azure Face API in Power Automate Flow
In today’s digital age, integrating advanced facial recognition capabilities into applications has become increasingly important for various purposes such as security, identification, and user authentication. Azure Face API provides a robust suite of services enabling developers to incorporate functionalities like face detection, face verification, and emotion recognition into their applications. Recently, we faced a requirement… Read More »
The post Enhancing Face Matching Accuracy with Azure Face API in Power Automate Flow first appeared on Microsoft Dynamics 365 CRM Tips and Tricks.
Published on:
Learn moreRelated posts
Retirement of Global Personal Access Tokens in Azure DevOps
In the new year, we’ll be retiring the Global Personal Access Token (PAT) type in Azure DevOps. Global PATs allow users to authenticate across...
Azure Cosmos DB vNext Emulator: Query and Observability Enhancements
The Azure Cosmos DB Linux-based vNext emulator (preview) is a local version of the Azure Cosmos DB service that runs as a Docker container on ...
Input and Output Parameters for Child Flows in Power Automate
In this post, I will look at the input and output parameter types for child flows. Recently I hit a couple of small issues with the various d...
Azure Cosmos DB : Becoming a Search-Native Database
For years, “Database” and “Search systems” (think Elastic Search) lived in separate worlds. While both Databases and Search Systems oper...