A packaging company installs a camera above its bottling line. The system must read the expiration date text printed on each bottle cap and also draw a bounding box around any bottle that is missing its cap entirely so it can be automatically diverted off the line. Which two Azure AI Vision capabilities together satisfy these requirements? (Select TWO.)
Select all correct answers, then click Submit.
Short Explanation
Break this job into its two separate asks. First, someone needs to actually read words printed on a cap, turning pixels into text — that's a job for pulling text out of an image. Second, someone needs to point at a specific bottle on a moving line and flag that one as missing its cap, which means locating and boxing a specific object rather than just describing the whole picture. A single overall label for the whole image, like fine or off, would tell you something is wrong without ever pointing to which bottle or where, so it can't drive an automated diversion by itself. And judging emotional tone in written language has nothing to do with cameras, caps, or bottles at all, so it doesn't belong in this lineup. Reading printed text and locating a specific object are the two jobs actually being asked for here.
Full Explanation
The correct answers are A and D. Reading the expiration date printed on each cap requires extracting text from the image, which is optical character recognition, while identifying and locating any bottle missing its cap requires finding and marking the position of a specific object within the frame, which is object detection returning a bounding box. Together these two capabilities cover both stated requirements: reading text and locating a specific object. Option B is incorrect because image classification only assigns one overall label to the entire image, such as bottle line normal or bottle line abnormal, and cannot pinpoint which specific bottle is missing a cap or where it is located on the line. Option C is incorrect because sentiment analysis is a natural language processing capability that judges emotional tone in text, which has no application to a camera-based visual inspection task involving printed dates and physical bottle caps.