How can I integrate face api, blob storage and sql in my applicatio?

Question

I am creating an attendance web application using azure services and flask. The flow I purpose is to first register user with their data and their images and then upload images to blob storage and store that data in one table and image features in another table. When user is registering their attendance, my site will capture thier face and then identify using face api and then retrieve their data from sql database. I was reading docs and came to know that I have to do a lot of things here like create person group and then train model etc. but I don't know how to do that, how to upload images so that they can be arranged in person groups(inside blob storage), how can I save data in sql database which corresponds to users in person groups etc.

Answer 1

@Prakash Yogi I would recommend trying the QuickStart to use the API using any of the languages. This quickstart should help you detect and identify faces from person groups by creating one. The concept of person groups & directory structure essentially helps you manage an individual's identity where they hold the uploaded person data including face recognition features and, in most cases, customers use the groups to identify users in their application and external databases to handle business logic for their applications. Using blob storage along with the APIs will help you maintain a structure for storing the images as per your business logic and you can name the person groups and blob folders using a matching naming convention for easy retrieval.

The easiest way to try all the concepts without writing any code is to use the API reference along with your resource keys and then try to create an application using any of the available client SDKs. Thanks!!