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 to compare two uploaded images and determine the similarity percentage, along with verifying if the faces in the photos belong to the same person. The primary goal was to ensure accurate detection and identification of faces in the uploaded images, yielding precise comparison results.
In this blog post, we will explore how to leverage the Azure Face API service within Power Automate flow and Canvas App to achieve this requirement. The following steps will guide you through the process of creating an automated flow that validates inputs, detects faces,…