Computer vision technology doesn’t stop at fingerprints

Computer vision technology doesn’t stop at fingerprints


Today’s digital advancements offer tremendous opportunities to perform different actions online such as shopping, banking, and making payments. Using the confidential and sensitive data to perform all of these activities involves that it can be stolen to gain access to financial accounts or to commit fraud. The global market of biometric systems is forecast to reach an estimated 32.4 billion U.S. dollar by 2022 growing at a CAGR of 15% from 2017 to 2022.
The market of computer vision biometric systems gains traction laying the groundwork for further development. Being a strong mechanism of authentication, biometrics systems developed with computer vision algorithms deal with the identification of some unique biological traits, such as vascular pattern/iris, fingerprints, face, gait or speech and enable to highly protect your sensitive data. Individual’s biometric traits or features are the only things that cannot be produced or exactly copied. Theoretically, these are ideal keys.

Biometric authentication has strongly expanded in the last few years, with more and more consumers relying on it and even demanding for it. Let’s take a look at the widely used methods of biometric authentication below:

  • Fingerprints. Applied to compare two examples of friction ridge skin impression from human fingers, palm or toes.
  • Iris recognition. Utilized to identify the part of the eye with the help of image processing and concepts of neural networks.
  • Face recognition. Used face to distinguish one person from the other, automatically identifies or verifies a person.
  • Voice. Applied to recognize speech with the help of natural language processing technology.
  • DNA. Utilized to measure and analyze the individual’s Deoxyribonucleic acid to distinguish people with some degree of probability.


Why biometrics technology so beneficial?

Companies across a wide range of business verticals are selecting a computer vision based biometric technology to secure their secret and confidential data, prevent security holes and identity theft, enhance the overall user experience. Let’s read about the benefits the biometrics provide:
  • Easy to use. It takes a short time to check and recognize if there is a need to verify a person.
  • Uniqueness. Biological traits are unique, and they separate the very person from others.
  • Immutability. Biometric features don’t change and there’s no way to modify them.
  • Performance. Biological features perform speed, accuracy, and robustness.
  • Measurability. Biological traits are easy to measure and do not demand too much time and costs to be measured.
We, at Provision Lab, have a team of computer vision engineers researching and developing new and exciting ways to leverage this technology to deliver great computer vision solutions. Feel free to contact us and we will be happy to turn your idea into successful and efficient solution.

Комментарии

Популярные сообщения из этого блога

How Computer Vision Shifts the Marketing

How computer vision reinvents the automation

High expectations for the future of the computer vision in medicine