An Ideal Second Level Identifier
However, a potentially preferable approach that can offer many opportunities is the use of face recognition as a second level identifier in combination with a passive primary identifier. In this approach, face recognition technology offers a unique opportunity for companies to design processes in a seamless way that leverages the identity recognition benefits of this technology while, at the same time, offering the user/consumer seamless personalized services.
Today's technology allows face recognition to be performed with little or no user interaction - the recognition can be performed through cameras situated several feet away. Passive first level identification, as its name implies, also does not require user action. That may be established by proximity devices (e.g. phone, RFID, etc. or the presence of wearable devices) or by residual tokens of identification that were set earlier (e.g. secure web cookies) through a more rigorous sign-on process). The combination of both provide a higher level of authentication, and the passive mode makes life easier on the user.
The Business Opportunity
So what to do with the enhanced identification? That's up to the specific application. Clearly one would not use this to authorize the launch of ballistic missiles, but it is easy to see a future where retailers offer personalized deals to customers, mobile devices authorize some level of interaction, financial institutions make it simpler to deposit checks, and/or credit card issuers authorize transactions without the need to sign, enter a pin, or even take the card out of the wallet. It all depends on how face recognition is married into a relatively passive primary form of identification, the risk of a specific transaction and the specific process of such transaction.
In the not so distant future we will see more and more companies wanting to offer seamless interactions, and that will create a competitive push in the market for other companies not to fall behind. In this environment, it is important to correctly select the right Face Recognition technology.
Selecting Face Recognition Technology
So what are some of the factors one could use in selecting face recognition technology for Seamless Interaction?
|Simplicity of integration -||The market push for seamless transaction will likely create an urgent need to integrate the technology into many business processes. One could test technology integration with a single pilot project but it is advisable to select a technology with an interface that makes it easy to integrate to all the technologies and processes the company has.|
|Ease of management -||Consider that the technology would proliferate beyond a pilot program and that the organization will want to manage all the data that is behind the face recognition. Ease of administration, connectivity to databases and big-data analysis are important.|
|System Scalability -||Again, think beyond the pilot program and future volumes of data and interactions. Not every system will be able to handle it, and not every system is architected for scalability.|
|Recognition Accuracy -||If face recognition is not the first level of identification it's accuracy does not have to be 100%. Yet, you don't want too many false positives. It's a balance that you will have to make, but not the first factor in selecting a system.|
|Recognition Flexibility -||When considering the concept of seamless transactions, where the user/customer does not have to stand still in front of the camera, look for systems that work whether the user wears a hat, eyeglasses, or grew a beard. The more flexible the system, the more seamless it is.|
|Back End Security -||Above and beyond the standard security measure that every system has, consider that every face recognition system uses different methods to store the biometrics against which a live person is matched. That data needs to be secured, and either encrypted or encoded in a closed way so that neither outsiders nor rogue employees would be able to tamper with.|
Face recognition can be applied in ways which offer businesses a path to seamless transactions that makes prospects and customer interaction smoother, increase customer satisfaction, and has the potential to increase revenue. Moreover, given market competitiveness, it may become a business imperative, so understanding the strategy to get there helps selecting the appropriate face recognition technology.