Facial Recognition and QA Testing: Meeting Challenges Together


Cybersecurity has become an equally important part of the rapidly occurring transformations and innovations, making it both challenging and crucial for technologists and QA testing experts. It requires a right balance to understand the accurate usage and adoption of each data security method.

So far, we are familiar with three basic steps of placing security in our devices:

  1. Passwords and security-related questions,
  2. Debit cards, key cards, and ID cards,
  3. Impossible to imitate personal identifiers such as biometric techniques like touch ID, iris scanning, and
  4. The most recent — Face recognition.

Face recognition is an intelligent innovation in the world of data security. But why is facial recognition so raging and how is it connected to QA testing techniques?

Apple is the pioneer in bringing out biometric sensors in form of Touch ID, which later on got adopted by various tech companies as high tech security feature.

Just a year back, iPhone X stole the show with its Face ID feature, which again paved way for a trend for others to follow on. Apple has always been a frontline expert in delivering unparalleled security for its customers.

But, there are other important uses of facial recognition such as:

Payments and Transactions

Banking transactions and any online payments will require an owner’s image for confirmation and MasterCard has just recently launched the idea known as “selfie pay.” The facial recognition adoption will prevent hijacking, data tampering, or fraud during any online payment made through the smartphones.

Moreover, facial biometrics will also be used in bank ATMs, e-commerce platforms like Alibaba, Amazon, etc. as well as other retail checkouts.


Security checkpoints are closely associated with the airports and its daily operations. But it is amazing that the use of facial recognition will make air travel much protected and hassle-free. Amsterdam’s Schipol Airport, Boston Logan, and many other airports are trying out on the new security method and others are analyzing the process for the better.

If the ‘hit and trial’ process turns into a successful attempt, there are great chances of facial biometrics to be adopted in the airfields.


Well, this one is going to be a huge success for advertising agencies and marketers. Advertisers, in order to streamline their creative efforts and target their audiences directly, are setting up large screens at various gas stations and retail stores to communicate with their audiences in the real time. This gives them the opportunity to exhibit and convey what they actually want them to see and know at the very instant.

This tactic will lead to highly increased revenues and a more deliberate use of the marketing budget plan.

But, there is a challenge!

Since QA experts view these latest technologies and innovations with an X-ray eye, hence it is quite likely that the adoption will take a while to be seen as a common trend. After all, the QA won’t give it a go until they find it bug-free and hassle-free from every angle before adoption.

It’s still vulnerable!

At this time, any experimentation or experience done on facial recognition technology is nearly accurate, however, its false acceptance rate (FAR) and false rejection rate (FRR) is quite high to be practically used. And in case, it ends up unworkable, no company will invest in the biometric technology because its high level of vulnerability will become a good opportunity for the hackers.

QA can save you!

Facial recognition demands an adequate accuracy level that can only be achieved through proficient QA testing services.

Here’s how QA service providers can save from worsening FAR and FRR rate:

  • By reviewing and testing unit-level algorithms placed in the facial recognition products
  • By creating test cases that identify all user situations such as if the user wears sunglasses, has false lashes/ facial hair, wears too much makeup, etc.
  • By testing the technology with respect to the sector or industry it is being used in like healthcare, finance, marketing, etc.

The magnitude of the success one can gather from facial biometric is inevitable if done right. So, if you want to excel in the facial recognition usage, join heads with a consistent QA testing partner to know what needs to be tested at the right time.