Are you looking for a quick guide to help you get started with face analysis? If so, here is a guide for you!
Face recognition is a tool that has long been used by law enforcement agencies and businesses around the world. They have already found different applications for marketing, education, retail and healthcare, among others.
Since its invention circa 1960, the process has evolved. When photography technology was understood, they found a way to implement the lightning image to a sharp definition of the forms of the faces. It continued to overcome obstacles, and they developed better tecnology with active near infrared images, 3D recognition, achieven great performances.
In the last years, we’ve seen the explosion of Artificial Intelligence (AI), that made even more easy for developers to create facial recognition systems. Now, with machine learning, they produced a deep database with biometric features from the human body. Now 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. Every body has a distinction, and the available algorithms improved to identify those distinctions. As a result, face recognition is becoming more accurate and efficient than ever before.
What kind of things can you do with it?
– A software engineer recently found a way to use this technology to scan through photos from prewar Europe, linking them to people living today.
– Facial recognition technology can be used for identifying patients and later predicting their health outcomes.
– It could help a prosecutor to estimate the distance between a pair of faces in a crime scene.
– By understanding how customers feel about specific products and services, you can target marketing efforts and improve customer satisfaction.
How Does A Face Analysis API Work?
Now, APIs are a way to implement those technologies to existing systems. We may have cameras installed in a store, but without a connection to a big database, it won’t success in finding a suspect, for example. Algorithms are powered through series of protocols, so you can further objectively examine micro-expressions from faces in a picture. Application Programming Interfaces (APIs) are devices developed to connect computers with databases or services, to achieve those tasks in almost no time.
If you are interested in a good API like this, for any purpose, we recommend using Face Recognition API. This one is a reliable and secure one, that’s available at the reputable Zyla API Hub -a marketplace with awesome developers and many solutions for businesses-. To use anyone of those solutions, you only have to create an account at the website to get started. You will then receive an API key that you can use to make API calls. To authenticate your API key, add your bearer token in the authorization header, and the you can make an API call providing the image URL as a parameter. And that’s all there is to it! The Face Recognition API will return the results quickly!
