Object Detection - This is the correct answer. Object detection is a computer vision technique used to identify and locate objects within an image or video. In this case, object detection would be ideal for tracking and counting individuals in the surveillance video, as it can identify and track people as they move through the store.
Image Classification - Image classification assigns a label to an image but does not provide location information about specific objects. It would not be suitable for tracking and counting individuals in real-time surveillance footage.
Optical Character Recognition (OCR) - OCR is used to extract and recognize text from images or videos. It is not applicable for tracking or counting individuals in surveillance video.
Facial Detection and Analysis - Facial detection focuses on identifying and analyzing human faces, but it would not be the best solution for tracking and counting all individuals in a store, as it is specific to detecting faces rather than general object tracking.
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Microsoft Azure AI Fundamentals AI-900
Describe Features of Computer Vision Workloads on Azure
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