Enhancing Face Matching Accuracy with Azure Face API in Power Automate Flow
Azure Face API provides facial recognition capabilities for applications, and this article explains how to use it within Power Automate flow and Canvas App. The goal is to compare two uploaded images and determine the similarity percentage and if the faces belong to the same person. The article outlines the steps to create an automated flow that validates inputs, detects faces, retrieves face IDs, verifies faces, and provides a comparison result. The process involves creating variables, validating inputs, creating files in Azure Blob Storage, detecting faces, getting face IDs, verifying faces, parsing JSON, and responding to the Canvas App. By following these steps, developers can leverage Azure Face API for accurate face matching in various applications.
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