Background
NEC’s Facial Recognition engine has been rank #1 by NIST for the past few years, the challenge was to take that engine and build a global product around it.
Ask Calibrated Questions
The starting point depends on that we know, what we know we don’t know and what we don’t know we need to known, makes sense? With many unknowns, a good place to start when you don’t know where to start is a UX Canvas. The discovery started with stakeholder interviews filled with questions to that would help me fill out my UX Canvas and get a good idea of where we stood and where to go next.
Finding the right answers
At its core, facial recognition is a method for detection and authentication through biometrics. It has many applications, from payments, access control, security, to KYC solutions. I knew the use case was public safety but to understand who are the players? Where are they playing? and How are they playing? I needed know how the application would be used.
Creating the foundation
We had good idea of what we are trying to achieve and the details would come as we start an iterative design, review, and adjust process. To keep the discussions focused on how the application will address the main scenario for security guards, I presented wireframes, and user flows to spark conversations and that lead to answers, but also more questions!
Abstract to concrete
Once we had alignment on how the application the would help a security guard in the main scenario, the look and feel of the application started to come together in a style guide and key screens designs for the engineering team to reference.
Style Guide
To reduce the dependency on mockups, a style guide was created to support engineering with quick on the guidance on application’s design.