AI-900 Question 147
Select 3A retail company wants to use computer vision to improve its customer experience and operational efficiency. Which of the following are examples of common computer vision solutions the company can implement?
- A
Using image recognition to automatically identify products on shelves and monitor stock levels.
- B
Developing a chatbot to answer customer inquiries in real-time.
- C
Employing facial recognition to personalize in-store advertising for customers.
- D
Using sentiment analysis to determine customer satisfaction in product reviews.
- E
Implementing object detection to track and analyze how customers move through the store.
Show answer and explanation
Correct answers: A, C, E
Explanation
Computer vision solutions focus on analyzing visual content, such as images or videos, to extract meaningful information. In this scenario, image recognition, facial recognition, and object detection are examples of computer vision applications that can benefit a retail company. Chatbots and sentiment analysis, on the other hand, are NLP-based solutions and do not fall under the computer vision category.
- A. Correct.
Image recognition is a common computer vision solution that can help automatically identify products and monitor stock levels, improving inventory management.
- B. Incorrect.
Chatbots fall under natural language processing (NLP), not computer vision, as they focus on understanding and generating text-based communication.
- C. Correct.
Facial recognition is a computer vision application that can be used to identify individuals and personalize experiences, such as targeted advertising.
- D. Incorrect.
Sentiment analysis is not a computer vision solution; it is an NLP technique used to interpret emotions or opinions from text, such as product reviews.
- E. Correct.
Object detection is a computer vision technique that can analyze customer movement and interactions with products, providing insights into behavior and store layout efficiency.