{"id":29147,"date":"2019-02-05T00:00:00","date_gmt":"2019-02-04T23:00:00","guid":{"rendered":"https:\/\/blexin.com\/riconoscimento-delle-immagini-nel-cloud\/"},"modified":"2021-05-20T19:27:09","modified_gmt":"2021-05-20T17:27:09","slug":"image-recognition-in-the-cloud","status":"publish","type":"post","link":"https:\/\/blexin.com\/en\/blog-en\/image-recognition-in-the-cloud\/","title":{"rendered":"Image recognition in the Cloud"},"content":{"rendered":"\n
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During one of the Azure academy we held for Overnet Education, our partner for training, we dealt with the subject of image recognition, that generated interest among students. I believe it could be interesting a comparison on this argument between different cloud providers, using Node.js and Typescript.<\/p>\n\n\n\n

Foreword<\/h2>\n\n\n\n

All major Cloud service providers offer tools for images analysis based on the artificial intelligence. You only need to provide an image (even a video in Amazon Rekognition) and the service can identify things, people, text, scenes and activities, as well as possible inappropriate contents.<\/p>\n\n\n\n

In this article, we will use the Amazon, Azure and Google SDK Javascript, in a Node project written in Typescript, which analyze locally uploaded images. Each Cloud is different from others for the way of use, services offered and for the returned output. For this reason, I will only refer to the analysis that is possible to make on the three SDK.<\/p>\n\n\n\n

For Amazon, the main requisite is the creation of an AWS account and an IAM user. A complete guide, that shows the whole procedure, is available at this link<\/a>. If you don\u2019t have an Amazon account yet, you can access through the AWS free program<\/a>.<\/p>\n\n\n\n

For Azure, the procedure to create a free account of Computer Vision<\/strong> is available at this address<\/a>. If you don\u2019t have an account on the Azure cloud, you can access through a Initial free program <\/a>.<\/p>\n\n\n\n

The documentation to start working with Google Vision<\/strong> on Google Cloud, is available at this address<\/a><\/p>\n\n\n\n

Setup of the project Node.js<\/h2>\n\n\n\n

The access to AI services requires the execution of calls to REST services. We will use Node.js to do that, the natural platform to manage this kind of problems. We create a Node.js project from scratch and we will add later all needed dependencies.<\/p>\n\n\n\n

Requisites to install are as follows:<\/p>\n\n\n\n

  1. Node.js from https:\/\/nodejs.org<\/a> (in the LTS version)<\/li>
  2. Typescript with the command npm install -g typescript<\/li><\/ol>\n\n\n\n

    To do this, we open the command line in an empty folder and digit inside it the command npm init<\/strong>. We answer to wizard questions and, at the end of the process, we will find in the folder the file package.json<\/strong>, which contains all needed settings. Usually, in the same folder, I run the command git init<\/strong> to initialize git and git remote add<\/strong> to configure the remote repository of the code.<\/p>\n\n\n\n

    Now we should modify the file package.json. First of all, the scripts section, we insert a section \u201cbuild\u201d: \u201ctsc\u201d<\/strong> to indicate that we will use the typescript compilator during the build stage.<\/p>\n\n\n\n

    We need then some dependencies for the development stage:<\/p>\n\n\n\n