Microsoft Azure AI Fundamentals AI-900 Practice Question
An e-commerce company wants to automate the process of monitoring warehouse shelves to determine the number and types of products present using video feeds.
Which type of computer vision solution is most appropriate for this task?
Object Detection solution - This is the correct answer. Object detection is the most appropriate computer vision solution for monitoring warehouse shelves using video feeds. It can identify and locate multiple types of products within the images or video frames, detecting and counting the products based on their types and locations on the shelves.
Image Classification solution - Image classification would only categorize the entire image into predefined groups for example "shelf full" or "shelf empty" without detecting and locating individual products. Object detection is better suited for counting and identifying specific items.
Optical Character Recognition (OCR) solution - OCR is used to extract text from images or documents, which is not applicable to detecting and counting products on shelves, unless the products are labeled with readable text, but it's still not the best solution for this task.
Facial Detection and Analysis solution - Facial detection is used to identify and analyze human faces, which is unrelated to the task of monitoring products on shelves.
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Microsoft Azure AI Fundamentals AI-900
Describe Features of Computer Vision Workloads on Azure
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