The said technology consists of four different stages as explained below.
1. The Capturing stage involves the collection of a sample using the video equipment. This sample could be an image/footage from a busy metro station or of the audience at a baseball match.
2. The Extraction is more unique and focuses on individuals instead of the whole crowd. A template is created with the unique data.
3. The Comparison stage weighs up the earlier mentioned template with a precompiled database.
4. The Match/ Non-Match stage implicates making a final decision that whether or not the template matches with any entry in the already existing database. This is achieved with the use of various complex algorithms.
Facial biometrics can be consolidated at any place, where you can find modern-day HD security cameras. The Police and other law enforcement agencies use these systems to locate people of interest by scanning video footage captured at different places. Other deployments of this incredible technology include border control applications and consumer applications like banking and payment gateways.
Thus, wherever there is a need to track an individual or a group of individuals on the basis of their facial appearance, “recognition through faces” can be used in all such environments.
This technology is no more just about dealing with access controls and individual verifications; it can do a lot to assemble huge demographic data also. Facial Recognition is on its way to prove its worth into other arenas as well, like retail industry, social platforms, banking transactions and public places.
Advancements in facial biometrics have come neck to neck with the latest trends. Like the very famous ‘selfie’ trend is being used for facial recognition methods. Yes, you read it right! MasterCard’s “Selfie-Verification”, gave the online payment methods a new tangent this year. Customers get through the whole payment process with the simple use of biometrics like selfies rather than using PINs, passwords or OTPs. Online transactions were never been this easier, and fun! As much as the use of facial biometrics makes the payment process faster, it also makes it more reliable. It mitigates the risk of fraud and strengthens the payment ecosystems.
This is not limited to the online monetary transactions only. The said technology has found its ways into social platforms too, such as Facebook. The brilliant brains of Facebook are seeking to organize rich image data and identify people captured in an image. So, tagging everyone in the big family photograph would be a bit easier!