The accuracy of face comparison systems has improved over time, and they are now used by law enforcement agencies around the world, as well as by official authorities. However, not all face comparison systems are created equal. Some are more accurate than others, and some are more expensive than others. Face mapping and recognition technology have boosted the validation and comparison of faces, and developers continue to be focused on facial comparison app business. These new developments allow to verify if two faces match each other, which is great improvement for many purposes.
Entrepreneurs take the opportunities to generate fun for customers with face match technology, e.g. fun for friends to match their faces with others, or to find your famous twin, including the resemblance of your baby with a celebrity parent. But there are other less frivolous uses that have to do with medicine and science in general, as well as with forensics and passport control in airports. It has become an extremely useful tool to spot wanted people by Interpol, for example. Likewise, it is good protection against fake face attacks and to identify people against ID photos. The result gives a reliability score and a value parameter to check if two faces belong to the same person.
The new digital tools offer APIs (Application Programming Interfaces) powered with Artificial Intelligence, which makes them robust and reliable face detectors, as well as with Deep Learning for face recognition technology which provides high accuracy in real-time by extracting key facial features to confront against photos. Face Comparison Validator API by ZylaLabs uses cutting-edge technology to accurately compare faces, so you can be sure that only legitimate employees will be allowed entry into your office or property, to give an example of potential face. It is integrated with a suite of APIs to render a more efficient solution: Compare Faces API, Face Comparison API, Face Matching API, Identity Validation API and others. Zyla does not store customer data, so do not fear retention of information during the test trial, as the customer data are automatically deleted after processing.
Face Comparison Validator API is also easy-to-use and requires no effort from you or expertise from a team of experts. All you need to do is follow these steps: create an account at Zyla API Hub. Once you have subscribed, you will receive an API key. With this unique combination of letters and numbers, you will be able to make calls to the API endpoint of your wish. Sign up for an account at Face Comparison Validator API. Once you have completed step 2, make a call to the Face Comparison Validator API endpoint with your bearer token. Upload the images you want to compare as a base 64 string. And that’s it! The Face Comparison Validator API will take care of the rest! You will get the most accurate and reliable output, in just seconds.
To use this Face Comparison Validator API, once you have an API key, add your bearer token in the Authorization header. Include the image URL as a parameter in your request and run it. That’s it! You will receive a response within seconds! So what are you waiting for? Stop wasting time trying different APIs and start using Face Comparison Validator API today!
