Face recognition is a process that uses mathematical algorithms to compare two faces and determine whether they belong to the same person. This is applicable when validating identity for passport control at borders, for spotting wanted people in public places, for forensics and identification for police investigation, for granting admission at checkpoints and many other uses that have simplified the process of tracking down a person or identifying identity. This is done against photos in a database, as well as for integrating pics in your database.
We are all used to integrating our photograph for subscribing to certain applications on our mobiles, and to standing still at the passport control counter or at entering a building for giving evidence of who we are. This has become a usual practice, and we thank developers who have devised software for face comparison that has become a usual practice these days. We can now check that two faces refer to the same person with a high confidence score and with a threshold value to be certain of the similarity. This technology will give you protection against FFA (Fake Face Attacks) and to render accurate output in real time.
Although there are many APIs available on the market, not all of them are secure and offer top-notch features. Therefore, we recommend Face Comparison API by ZylaLabs that has recently gained popularity due to its efficiency. It compares two faces and determines they belong to the same person in seconds, in a couple of clicks, and with the certainty of a reliable application. When the images are run through it, both images are turned to Face Vector templates to estimate the Euclidian distance. This is converted by means of a function to a confidence value which shows by Face Comparison API in the output.
This software uses cutting-edge AI technology and can be used for security purposes or just for fun. It is an automated API integrated with other platforms by the same provider to guarantee efficiency and accuracy: Face Comparison Validator API, API For Detecting Faces, Compare Faces API, Identity Validator API and others. They exchange information with one another to render the most accurate and reliable result. The software performs automated face alignment techniques to determine similarities and differences between two faces, in a pixel to pixel thorough scanning. It uses a state-of-the-art learning model.
To subscribe proceed to open an account at Zyla API Hub. After this, you will be given an API key. To authenticate, include your bearer token in the authorization header. To compare two images, use the endpoint Face Comparison. Finally, enter the URLs of the two images you want to compare and execute the process. Wait a few seconds for Face Comparison API to respond. Zyla does not store face data. It is dedicated to data security and privacy while you perform the trial test or the paid service. Zyla does not store customer data, which is automatically deleted after processing.
To use this API, go to Face Comparison Validator API and simply click on the button “Subscribe” to start using the API. After signing up in Zyla API Hub, you will be given your personal API key. Using this one-of-a-kind combination of numbers and letters, you will be able to use, connect and manage APIs. Use the different API endpoints depending on what you are looking for. Once you find your needed endpoint, make the API call by pressing the button “run” and see the results on your screen.