AI-900 Question 167
Select 3A retail company is using an Azure facial detection and analysis solution to enhance its customer experience. They want to identify customers' emotions while also detecting the presence of faces in real-time video feeds. Which features of facial detection and facial analysis solutions in Azure can help them achieve their goals?
- A
Detect the number of faces in an image or video feed
- B
Identify specific individuals using facial recognition
- C
Analyze facial landmarks such as eyes, nose, and mouth positions
- D
Detect emotions such as happiness, sadness, or anger
- E
Generate a unique numeric ID for each detected face
Show answer and explanation
Correct answers: A, C, D
Explanation
Azure facial detection and analysis solutions are designed to detect the presence of faces, analyze facial features, and infer emotions. These solutions do not perform facial recognition or create unique identifiers for faces unless specifically configured for recognition tasks. In this scenario, features like counting faces, analyzing facial landmarks, and detecting emotions help the retail company achieve its goals.
- A. Correct.
Correct. Azure facial detection can count the number of faces in an image or video feed, which helps detect the presence of faces in real-time.
- B. Incorrect.
Incorrect. Identifying specific individuals requires facial recognition, which is separate from facial detection and analysis.
- C. Correct.
Correct. Facial analysis includes detecting facial landmarks like the positions of eyes and mouth, which can be useful in understanding expressions.
- D. Correct.
Correct. Azure facial analysis solutions can detect emotions such as happiness, sadness, or anger based on facial expressions.
- E. Incorrect.
Incorrect. While Azure facial recognition solutions can generate a unique ID for each face for identification purposes, this feature is not part of basic facial detection and analysis.