A retail store installs a camera above its entrance that detects human faces in the video feed and increments a counter each time a face passes through the frame. The system never stores an image, compares a face to a database, or determines who anyone is; it only notices that a face is present and where. Which AI capability does the store's system use?

The store's camera only locates the presence and position of a face within each frame to increment a counter; it never compares that face against a stored identity, so this is facial detection, not identification. The option claiming facial recognition because the camera analyzes faces in the video feed is incorrect because facial recognition specifically means matching a detected face to a known identity in a database, which this system never attempts. The option claiming optical character recognition because the camera reads facial features as data is incorrect because optical character recognition extracts printed or handwritten text characters from an image, not human faces, and nothing in this scenario involves text. The option claiming sentiment analysis because the camera evaluates each visitor's expression is incorrect because sentiment analysis evaluates emotional tone, typically from text or speech, or in vision contexts from facial expression classification, but the store's system is not scoring expressions or moods; it is only counting the presence of faces. Understanding this distinction matters for AI-901 because detection and recognition are frequently confused: detection answers whether and where something appears, while recognition answers who or what it specifically is, and the privacy implications of the two differ substantially.