Add Azure Face Recognition to Your Applications The Easy Way With Baseet

Face detection and recognition technology is designed to detect and verify identity in much the same way humans do – by recognizing faces. This is how the Face lock feature on your smartphone works, as well as many other biometric surveillance features that are becoming increasingly common for security and identification purposes. But the potential for face recognition goes far beyond identity verification. In fact, face detection and recognition technologies are among the most promising up-and-coming applications of artificial intelligence economy-wide. 

With Baseet, building apps with face detection and recognition capabilities is as simple as drag-and-drop. Our user-friendly visual application builder allows you to easily integrate sophisticated AI capabilities into your existing code via auto-generated APIs , build an AI app from scratch, or tap into our increasingly diverse library of pre-trained models to personalize.

Face Detection Today

Facial detection and recognition is one of the most promising – and potentially controversial – use cases for AI-powered recognition technology. The security applications for facial detection have prompted London, which has monitored public spaces with a vast network of CCTV cameras, to roll-out a city-wide facial recognition system that has raised more than a few eyebrows. Airports, public transportation hubs, and other spaces where public safety is a key concern are increasingly looking towards facial detection technologies to detect and deter violent crimes.  

The use of facial detection and recognition applications that do not require notice and consent have triggered concerns regarding privacy, fairness, and accuracy. However, this technology has potential applications far beyond the realms of private security and public safety. And when used responsibly, facial detection can be helpful in a wide variety of enterprise, cultural, and artistic applications. 

Enterprise Applications for Facial Detection and Recognition

Facial detection and recognition has several business applications. Most people are familiar with Facebooks’ facial recognition software, which prompts users to tag themselves and their friends when they upload photos. Uber is also working on improving security by allowing passengers to verify their drivers’ identity with this technology. Facial detection and recognition is also widely used to detect and deter shoplifting from retailers. 

Facial detection is being used to determine whether an image has been altered or Photoshopped, helping to prevent the circulation of false or misleading information and curb online harassment. It’s helping to reduce fraud in financial and government transactions, and protecting young people from illegal activities and exploitation.  The potential use cases of this important biometric technology are endless – and in fact, when applied creatively (and appropriately) facial detection can be quite fun!

Having Fun With Your Face

Painters, sculptors, and other artists have contributed so much to our world, and their work should be appreciated for its many cultural and historical contributions. Unfortunately, even the best-intentioned appreciator of art can find browsing portraits incredibly boring. To help encourage us all to engage more meaningfully with art history, Google has built a platform that allows you to snap a selfie and find artistic masterpieces that bear your resemblance. 

The potential use cases for facial detection are vast – indeed, the potential for this technology is limited only by the bounds of the developer’s imagination. Snapchat, Instagram, Facebook, and other popular social apps now include facial recognition software capable of transforming our smiling mugs into kitty cats and unicorns. Apps that use facial recognition can show us what we might look like in old age, or what our kids may look like. They can turn us into zombies or set us up with online avatars that resemble us in real life. And as developers find new ways to harness the power of facial detection, they are developing new solutions for the rapidly-growing biometrics market. 

Building Facial Detection and Recognition Apps With Baseet

Tapping into the multi-billion dollar facial detection market may seem next-to impossible for a seasoned coder, let alone a first-timer who’s just learning the ropes. But with Baseet, it isn’t as much of a challenge as you may think. provides pre-built nodes that help users to connect with Azure Face service, a pre-trained API that detects and analyzes human faces in images. Azure’s Face API is capable of detecting, identifying, and analyzing human facial features in photos and videos. Azure can also be personalized to specific inputs, enabling customized model training – and with Baseet, any degree of customization you may need is a simple as executing a drag-and-drop. Our unique user interface has eliminated the need for complex coding, which saves time and greatly reduces the likelihood of error. Using our visual interface with pre-built nodes, developers can build solutions around existing services with ease.

Baseet has pre-built nodes leveraging Azure’s Face service for both face recognition and face detection.  A “node” is a reusable, customizable component that can be connected with other nodes in an easy drag-and-drop format to make increasingly complex and capable apps. If you’re looking to add face detection or recognition functionality to your existing code, simply take our auto-generated API and embed it into your app. Or, start with our pre-built face detection and recognition applications and customize them to suit your needs.

With our user-friendly visual interface, building AI apps with sophisticated facial detection capabilities is as simple as it gets! From your dashboard, simply select the AI capability you’d like to add. If you’re starting from one of Baseet’s pre-built applications, you’ll be directed to a helpful web form that shows inputs. Add your input (or use our sample data), run the app, and Baseet will do the rest! provides sample apps that show new users how to use specific nodes. For Azure face detection service, follow Azure – Face Detection APP to show the usage for each node.

The output is:

In just a few seconds, you’ll get a visual output in our easy-to-understand web form format as well as code ready for copy-and-paste. Open the Baseet app to display the output in our unique drag-and-drop visual interface.

Integrate Facial Recognition and Detection Into Your Existing Solutions

Building facial recognition and detection on Baseet is as easy as it gets. But what if you want to add facial recognition or detection functionality into your existing software? No sweat – here’s how you do it:

  • Setup API

If you don’t have an Azure subscription, create a free account before you begin. Then to get a Face API subscription key, you need to follow the steps mentioned in this link or get a free trial subscription key from here.

  • Access the Azure – Face Detection Node

This node helps users to connect directly with the face detection service from Azure.

  • Select Inputs

Either use our drag-and-drop editor or code inputs yourself:

  • Face API Subscription Key: the credential key you got from Azure API for face service.
  • Face API Endpoint URL: endpoint URL you got from Azure API for face service.
  • Image url_path: the URL of the image you want to detect and analyze faces in it.
  • Generate Outputs

Connect Baseet’s pre-built nodes with your inputs, run the application, and see your outputs. Outputs for face detection and recognition applications will be in the form of your input image annotated with detected faces, predicted ages, and the detected emotion for each face.

With Baseet’s easy-to-use drag-and-drop interface, building apps with facial detection capabilities has never been easier! Try it for yourself with a free account: and learn more about what our dynamic and user-friendly platform has to offer by following us on social media at @BaseetAI on Twitter, Facebook, or LinkedIn.

Samantha Joule Fow is the Director of Communications and Digital Marketing for and the CEO of Axiom Communications, Inc. - a full-service technical writing and digital marketing company located in Denver, Colorado.

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