To create a facial recognition solution for named employees, which service should be used?

The most suitable service for creating a facial recognition solution specifically targeted at identifying named employees is the Face service. This service is part of Azure’s Cognitive Services suite and is designed specifically for face detection and recognition tasks.

The Face service provides powerful capabilities, such as detecting human faces in images, recognizing faces by matching them against a database of known individuals, and extracting face attributes like age, gender, and emotion. It allows developers to build solutions that can efficiently verify identities or even provide demographic insights, making it ideal for applications that require the identification of named individuals, such as employee recognition systems.

In contrast, while the Computer Vision service focuses on a broader range of image processing tasks, including object detection and image analysis, it does not specialize in facial recognition. Similarly, Custom Vision is aimed at training custom image classifiers and is not designed specifically for face recognition tasks. Cognitive Services, on the other hand, is a broader suite that encompasses various AI capabilities, including both the Face service and others like Text Analytics and Speech APIs. This broader scope means it is not directly a facial recognition service in itself, but rather a collection of services that includes facial recognition among other functionalities.

Therefore, for a focused facial recognition application, the Face service is the correct choice as