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Exam AI-900 topic 1 question 220 discussion

Actual exam question from Microsoft's AI-900
Question #: 220
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redsoxfred
Highly Voted 1 year, 10 months ago
I think the answer is text extraction Since the goal is to extract the vehicle registration numbers from the CCTV footage, text extraction using OCR algorithms would be the most appropriate choice. OCR algorithms can recognize and extract text information from images, making it possible to retrieve the registration numbers from the captured video frames. This enables automated monitoring and analysis of the traffic data by extracting the relevant textual information.
upvoted 28 times
itravi2002
1 year, 10 months ago
IMO first service has to detect cars i.e. objects, therefore object detection would be required
upvoted 1 times
xRiot007
1 year, 5 months ago
The cars are already detected from the CCTV footage, you are asked here what service to use to extract license plate information, which is text extraction using OCR.
upvoted 6 times
wolf1024
1 year, 1 month ago
I agreed it's text extraction, question is stating to retrieve "registration numbers", it's identifying textual information within videos
upvoted 2 times
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BobFar
Highly Voted 9 months, 2 weeks ago
Correct answer is text extraction , the only way to collect registration number is OCR which is text extraction, object detection is useful to find a car
upvoted 6 times
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AzureBP
Most Recent 1 year, 1 month ago
text extraction https://learn.microsoft.com/en-us/azure/search/cognitive-search-concept-image-scenarios
upvoted 2 times
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Freelf
1 year, 3 months ago
It should be Object Detection. https://www.c-sharpcorner.com/article/number-plate-recognition-with-azure-custom-vision-and-azure-computer-vision/
upvoted 2 times
ansisindokom
1 year, 2 months ago
This links clearly mentioned text extraction/OCR to get the plate number not object detection.
upvoted 3 times
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kd333200
1 year, 6 months ago
A traffic monitoring system that collects vehicle registration numbers from CCTV footage is an example of "text extraction" in the Computer Vision service. Text extraction, specifically optical character recognition (OCR), is the process of recognizing and extracting alphanumeric characters from images or video frames. In the context of a traffic monitoring system, OCR algorithms can be applied to extract the registration numbers from the license plates captured in the CCTV footage. This enables automated data collection and analysis of vehicle registration information for traffic monitoring and related purposes.
upvoted 2 times
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Tall1
1 year, 6 months ago
It it first Object dectection, text extraction after that. Or can text extraction direct extract from video
upvoted 1 times
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Certification_Champs
1 year, 6 months ago
A traffic monitoring system that collects vehicle registration numbers from CCTV footage is an example of text extraction in the Computer Vision service. Text extraction is the process of identifying and extracting text from images, which includes tasks like recognizing license plate numbers in the context of vehicle registration numbers. Image classification, object detection, and spatial analysis are different types of computer vision tasks that focus on categorizing or locating objects in images but not necessarily extracting textual information.
upvoted 2 times
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Myrish
1 year, 8 months ago
The answer should be text extraction. OCR or Optical Character Recognition is also referred to as text recognition or text extraction. https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/overview-ocr
upvoted 2 times
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Diesomnius
1 year, 9 months ago
I would choose text extraction as it falls under Computer Vision - Image Analysis service - see example here: https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/concept-ocr#text-extraction-example
upvoted 3 times
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