feel.ai – Overview

feel.ai is an API for detecting and analyzing human faces in pictures and videos. Face analysis includes the recognition of age group, attentiveness, emotions, and gender.
The API’s typical use-cases include marketing, retail, healthcare, senior care, and online education.
The API is based on state-of-the-art patent-pending technologies developed by Neuromorphic using deep learning and biologically inspired neural computing architectures.
The API is available through a REST HTTP interface, which can be used for images and videos.

feel.ai facial analysis in pictures

Users can post pictures to the API and receive classification results of detected faces and associated emotions, attentiveness, gender, and age groups.
Pictures can be in any of the popular formats, including JPEG, PNG, GIF, and TIFF.
The location of the faces and analysis results are returned in the response.

Users can post videos for facial analysis in two modes:

Each request posted by a user is queued for execution by the API.
The user can query the status of the job, and when it is completed, the analysis results are returned.
Using the API facilities, the user can also inspect video analytics, including a graph that shows the post-processed aggregate emotion state, attentiveness, age group, and gender, frame-by-frame in the video.
The user also has access to media information extracted from the video, which can facilitate the visualization of videos in common browsers.

In this mode, the request is processed by the API immediately (i.e., the request is not queued, but processed instantly).