You have a factory that produces food products.
You need to build a monitoring solution for staff compliance with personal protective equipment (PPE) requirements. The solution must meet the following requirements:
* Identify staff who have removed masks or safety glasses.
* Perform a compliance check every 15 minutes.
* Minimize development effort.
* Minimize costs.
Which service should you use?
Azure Video Analyzer for Media (formerly Video Indexer) is designed to analyze video content and can identify scenarios, including whether individuals are wearing masks or safety glasses. It is well-suited to perform periodic compliance checks, such as every 15 minutes, and supports a range of video analytics capabilities. The service provides built-in models for analyzing video, which helps minimize development effort and cost.
A. Face. The solution link explains: Embed facial recognition into your apps for a seamless and highly secured user experience. No machine-learning expertise is required. Features include face detection that perceives facial features and attributes—such as a face mask, glasses, or face location—in an image, and identification of a person by a match to your private repository or via photo ID.
A is the answer. https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview-identity#face-detection-and-analysis Face detection is required as a first step in all the other scenarios. The Detect API detects human faces in an image and returns the rectangle coordinates of their locations. It also returns a unique ID that represents the stored face data. This is used in later operations to identify or verify faces. Optionally, face detection can extract a set of face-related attributes, such as head pose, age, emotion, facial hair, and glasses. These attributes are general predictions, not actual classifications. Some attributes are useful to ensure that your application is getting high-quality face data when users add themselves to a Face service. For example, your application could advise users to take off their sunglasses if they're wearing sunglasses.
Gotten this in Jul 2023 exam.
According to both chatgpt (4o) and Gemini, the correct answer is C.
Should be B Computer Vision. Spatial Analysis in Computer vision. Spatial Analysis can also be configured to detect if a person is wearing a protective face covering such as a mask. https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/intro-to-spatial-analysis-public-preview?tabs=sa
Thanks for the link. I agree Azure AI Vision Spatial Analysis seems correct.
We are dealing with videos here and you need to check every 15 minutes. All these need to be done with minimum development and cost. Face won't work as it mainly deals with images and PPEs are not limited to just goggles. Check different video models available here: https://learn.microsoft.com/en-us/azure/azure-video-indexer/video-indexer-overview
C. Azure Video Analyzer for Media (formerly Video Indexer) - This service is designed to analyze video content and can be used to identify specific scenarios, such as whether individuals in a video are wearing masks or safety glasses. It supports a range of video analytics capabilities, including object detection, which can be leveraged to monitor PPE compliance. Using Azure Video Analyzer for Media can minimize development effort by providing built-in models for analyzing video content and can be set up to perform compliance checks at specified intervals, such as every 15 minutes.
I suppose the correct answer is A because every 15 minutes you can take a snapshot from the video surveillance system and process the image with the Face API. This is certainly less expensive and easier than using Video Indexer.
It's C. From: https://learn.microsoft.com/en-us/azure/azure-video-indexer/video-indexer-overview People's detected clothing (preview): Detects the clothing types of people appearing in the video and provides information such as long or short sleeves, long or short pants and skirt or dress. The detected clothing is associated with the people wearing it and the exact timestamp (start, end) along with a confidence level for the detection are provided. For more information, see detected clothing. Featured clothing (preview): Captures featured clothing images appearing in a video. You can improve your targeted ads by using the featured clothing insight. For information on how the featured clothing images are ranked and how to get the insights, see featured clothing.
May be Face.
A is the correct because video Analyzer only detect faces but it doesn't analyze faces, it's only done by Face.
Azure Video Analyzer for Media (formerly Video Indexer)
B is the answer. https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/intro-to-spatial-analysis-public-preview?tabs=sa#social-distancing-and-face-mask-detection
Answer : A
answer B
I don't think Face alone can do a compliance check, Face does the recognition but the service needs to do something after that (determine it is compliant/not compliant, so you need to have the more comprehensive services of Computer Vision (AI vision) which includes Face.
No doubt the correct answer is A: link is here https://learn.microsoft.com/en-us/legal/cognitive-services/face/characteristics-and-limitations
Quote "For example, your application could advise users to take off their sunglasses if they're wearing sunglasses." at https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/overview-identity#face-detection-and-analysis