FACE RECOGNITION

This video is an example of one of the more recent stages of my work regarding a face recognition project, before its hiatus. In the video you can see a face - the recognition is denoted by a green outline - making expressions.

In the console below the video, you can see the 'Summary' which explains what the camera sees - printed out in black text. The green text visible on the screen, itself, is the most recent line printed.

It updates rapidly.

'Face Recognition' refers to an edge technology in the sub-field of 'pattern recognition' - a consortium of algorithms and/or plugins which work together, and - when applied to videos or images - endeavor to distinguish & determine a person's face from a picture image, programmatically.

With this form of technology, faces & other shapes can be auto-detected from an image or video or live stream.

Consider uses such as improving quality & convenience of image editing, adding nifty features to security cameras, recognizing facial cues, emotions & expressions and translating those into machine language.

My role was to take the base components - the plugins, the engine, the underlying software - understand the code segments, and mold them into something that more effectively utilized the base resources.

I was an efficiency-enhancer and cross-platform, mobile designer in this endeavor, developing code for cam. I built an app which recognized your facial expressions and verged on making estimations regarding what emotion you were expressing.

It is capable of recognizing multiple gradations of 'smiles' (or lack thereof) from different angles & distances, eyebrow position as well as a host of other emotions - steadily aiming towards more than 8 possible common expressions.