In an era of AI and machine learning, artificial intelligence is rapidly replacing human intervention in multiple situations. Increasingly, they are providing the first line of customer service to the end users. One of which is facial recognition technology, which is used to identify people on a static or moving image.
Face recognition technology is an AI-ML-based software application that is designed to recognize a person’s identity by scanning their face. It enables AI-based apps to identify and recognize human faces from images or videos, in order to train them to recognize and identify the right faces.
Generally, The science of face recognition involves understanding biological systems for recognizing faces. This is a biometric technique that compares and analyzes patterns based on a person’s “facial contours,” i.e., it identifies or confirms a person’s identity based on their facial features.
Unlike typical software application testing, Ai app testing is not just about assessing the functionality of the app, but more about assessing the maturity of the Ai algorithm via its responses to various facial detections and identification.
Any AI based application testing plan needs to go through the following process of assessments:
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