Face Analysis API: The Future Of Facial Recognition Solutions

A safer world is possible, thanks to modern technologies that humanity is developing. Slowly, new tools start to appear, that can make our lifes better in many aspects.
One of them is facial recognition, and you can already apply it! Would you like to know how? Keep reading!

There are many different companies that need facial recognition solutions. Imagine if every stadium had a good facial recognition: it could help to stop violence between rival fans. Also banks and supermarkets robbery would be solved if every police organization had this kind of tool. Because having cameras is not enough, it has to create an incorruptible filing system so they can later check. And even so, it could take hours to manually inspect every frame of every video.

Luckily, there are other devices designed to perfection that task, and it’s within easy reach. You would only need a Face Analysis API. Now, what’s an API?

APIs Are The Future And The Present

An Application Programming Interface (API) is a collection of definitions and protocols that allow two software programs to communicate with each other. APIs enable software developers to create applications by providing them with the necessary tools. Therefore, when two programs connect with each other like this, it helps us exchange information or request services. The communication is done through the use of protocols and defined specifications that allow the two systems to interact.

Now, APIs are used by businesses in a variety of ways. They can be used to integrate services or to create new applications altogether, or even access data hard to retrieve from internal systems (like the camera footage we mentioned above). They can be used as part of an automated workflow or as part of a larger machine-learning system.

We said it’s ‘The Future’ because with an API you can automate the process of gathering data from multiple sources, saving time and reducing the need for manual data entry. You can also scale it to be used on multiple cameras, from a lot of buildings. Then, you would have automate revision of every crowd from every sector of your organization, to power a competitive security system.

Facial Analysis API: The Solution

For this instance, a facial recognition API works by sending an image to an API endpoint, which then sends back information about any faces found in an image. This information can include the location of each face in the image, the estimated distance between each pair of faces, etc, And you can then use this information to create your own application or service.

To identify a person based on their facial features, the Face Analysis API uses two-dimensional (2D) images. The technology compares the x, y, and z geometric coordinates—which specify the topology of the face—with the coordinates of another face stored in a database. The main benefits of using this technology are its portability, speed, and accuracy as well as its low false positive rates. There are a lot of APIs out there, but not all of them provide the best solutions. So, if you’re looking for the best facial recognition APIs, we recommend this one.

To make use of it, you must go to Face Analysis API and click on the button “Subscribe” to start using the API.

After signing up in Zyla API Hub, you’ll be given your personal API key. Using these numbers and letters, you’ll be able to connect and manage APIs, employing the different API endpoints on what you are looking for.




Alejandro Brega

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