Webcam with AI face recognition and analysis capabilities integrated with Appian

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Brief summary

Extending Appian’s capabilities with AI and webcam integrations shows just how flexible the Appian platform is.  In this Proof of Concept, I integrated Appian with webcam technology and a facial recognition AI solution to show how easy it is to do something like a face recognition login with Appian.  The ways to apply Appian seem endless and are always exciting.

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I have long had the idea to integrate Appian with hardware to provide a more diversified solution for our clients.

Source: Kin Yew Lee

Author Image

Kin Lee

Appian Designer

About the Author:Kin is a qualified software engineer and highly accomplished Appian developer. He holds a bachelor of Applied Science – Computer Modelling from the University of Science of Malaysia. Prior to specialising as an Appian Developer, Kin was a Linux device driver software engineer working for Intel Corporation in Malaysia. Kin is always coming up with new ideas for applications and integrations with Appian.

You don’t often hear of examples where Appian solutions are integrated with hardware to create a business application. I was previously a Linux device driver developer and often worked with hardware developments. Since working as a Business Process Management (BPM) developer and exploring Appian myself, I’ve long had the idea of using Appian not only as a BPM platform but also something that we can integrate with hardware, to provide additional applications and business opportunities to our clients.

In this Proof of Concept, I integrated Appian with webcam technology and a facial recognition solution to show how easy it is to do something like face recognition login with Appian.

What can this app do?
• Photo capture from a webcam or any integrated camera.
• Image analysis and processing.
• Photo display in Appian without uploading to Appian.
• Face recognition, comparison and analysis.
• Face recognition login.

Business processes:
User can register (new user) or login using face recognition (no password is required).
• Register
– User fills in required information (eg. name, email etc).
– User clicks register.
– A photo of the user will be taken from the camera and stored for further login purposes.
– System will analyse based on the photo taken if the user is an existing user.
– If existing user, message shows the user is an existing user.
– If new user, all information will be saved and the registration is completed.

• Login
– User clicks on login.
– No password or username required.
– A photo of the user will be taken from the camera.
– System will analyse the photo based on the pre-registered photos and tell if the user is an existing user.
– If existing user, proceed to the profile page.
– If user not found, message shows the user is not an existing user.

The same solution can also be applied to other BPM or RPA technologies.

Author image

Kin Yew Lee

Appian Designer

About the Author:Kin is a qualified software engineer and highly accomplished Appian developer. He holds a bachelor of Applied Science – Computer Modelling from the University of Science of Malaysia. Prior to specialising as an Appian Developer, Kin was a Linux device driver software engineer working for Intel Corporation in Malaysia. Kin is always coming up with new ideas for applications and integrations with Appian.