Introduction to face service

Face recognition is a modern way of implementing security measures. In general usage, most mobile phones come up with a face identification system for authorizing access. We get a CCTV camera across all public places such as Airports, social gathering places. Similarly, you get image detection techniques in Facebook where it lists out the photos similar to a person’s photo. You can use these techniques in many places such as Criminal Identification, Surveillance, Defense Services, online payment, Airport services.

Suppose you want to analyze the audience in a social gathering based on their gender, age, emotion, glasses, and facial attributes. In the below screenshot, we have two different persons. The face recognition service detects the person’s gender and age. Here, we see a rectangle for both faces detected in the image.

Azure provides cognitive services with embedded facial recognition in a seamless user experience. Usually, these image identification system requires you to have machine learning expertise. Azure image service provides features such as face detection, person identification, and capturing personal emotions such as sadness, happiness, facial attributes, and grouping images.

Before we implement the Azure logic apps for face recognition, browse to the Azure face service URL and upload an image. It detects the image (blue rectangle) and returns image attributes in JSON format.

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