Do you wish to know which are the best APIs on the web nowadays for face detection, identification and verification? In this article we will tell you more about it!
We have advanced face identification and recognition technologies based on artificial intelligence after the years-long technological growth from basic computer-vision techniques. Modern facial recognition software can quickly identify faces and display them in your camera application or blur people’s faces in videos. Consequently, how does face detection operate and why is it crucial?
Face detection uses artificial intelligence (AI) to identify human faces in pictures and videos. It identifies faces in pictures and videos independent of the camera angles, the subject’s head position, the lighting, or the skin tone. The process of matching a given face image to one in a database of faces is known as face identification: the second stage of face recognition (the first part being detection). Finally, you can verify that your physical face matches a photograph using facial verification technology.
The technology is advancing quickly and has a wide range of uses, such as device unlocking, banking, travel, law enforcement, building security, and others. Face detection can be seen in our daily lives because it forms the basis of many facial apps. Our smartphones employ facial recognition to unlock, and this would not be possible without face detection.
So, if you need to use APIs for face detection, identification and verification, we have selected the best 3 APIs available for you. Start using them right now!
Use the Face Comparison API to check whether a person appears the same in two pictures. The two photographs might be compared by the device’s artificial intelligence to see if they genuinely depict the same individual. The AI will take care of everything else; the API only needs the Base64 or picture URLs.
With the help of this API, you may set up a face verification system at work or at home. This API would also be helpful if you wanted to compare photos from different IDs.
2. Clarifai
Clarifai is a pioneer in artificial intelligence for unstructured image, video, and text data. With the use of this application, organizations may create structured data from their text, video, and image data far more rapidly and accurately than they could do it manually. Its state-of-the-art Face Detection Model can identify different faces based on a small sample of images. Face recognition technology that uses alignment and transformation enables automatic face recognition from all angles.
3. Deep face
DeepFace is a deep learning algorithm for facial recognition that was created by a Facebook research team. It is able to detect human faces in digital pictures. The program employs a nine-layer neural network with about 120 million link weights and was trained on four million photos submitted by Facebook users. Age, gender, emotion, and race are taken into account by the straightforward Python face recognition and facial attribute analysis framework known as Deepface.
This hybrid framework is used to support contemporary facial recognition algorithms as VGG-Face, Google FaceNet, OpenFace, Facebook DeepFace, DeepID, ArcFace, and Dlib.