We know that it may seem complicated but don’t worry, here we’ll tell you everything you need to know about it and much more! So, sit tight and read on!
The biometrics market, a sector dedicated to identity verification, is expected to grow at a sharp pace until 2022. The increasing adoption rates of facial recognition, iris scans, and DNA analysis are the main drivers of this growth. People are shifting away from the traditional password authentication method and are moving towards biometric verification methods.
Face recognition is an effective alternative that not only increases security but also prevents fraud. It has gained a lot of traction in industries like travel and hospitality because of its ease of implementation and low cost. For instance, airlines have started using it to identify frequent flyers in order to provide them with special services like priority boarding or lounge access.
As expected, other industries like finance and security have also started using this technology along with other artificial intelligence capabilities for authentication.
What Is Face Comparison?
In simplest terms, face comparison is the process of comparing two faces to determine if they are the same person or someone else. It’s typically used to verify identities in security systems and applications like biometric verification systems. Face comparison algorithms use various features to distinguish one face from another in order to verify whether or not they belong to the same person.
How does this API works?
The main objective for face verification systems is to determine whether two faces belong to the same person. These days face verification is becoming increasingly important because most people have digital identities on social media and websites where they share their faces online. It’s imperative that these platforms implement face verification processes to ensure the identities of their users are secure.
Additionally, if a system can determine that the faces do not match, this is helpful if there are multiple users in one account. In other words, you can use face verification APIs to protect your digital assets by preventing duplicate accounts and fraudulent identities.
What Is The Best Way To Verify Faces?
Although there are many face verification solutions available today; what we recommend is using a secure API like Face Comparison API. This is due to its accuracy in detecting similarities between faces as well as its ability to differentiate between two faces that are very similar!
This API uses cutting-edge technology based on machine learning algorithms; making it one of the most precise tools available today in the market
This API will help you to recognize if two audio files’ voices belong to the same person or not. Ideal for security validations.
To make use of it, you must first:
1- Go to Voice Coincidence Verification API and simply click on the button “Subscribe for free” to start using the API.
2- After signing up in Zyla API Hub, you’ll be given your personal API key. Using this one-of-a-kind combination of numbers and letters, you’ll be able to use, connect, and manage APIs!
3- Employ the different API endpoints depending on what you are looking for.
4- Once you meet your needed endpoint, make the API call by pressing the button “run” and see the results on your screen.
