Face Detection for non-technical People
Basically facial recognition is use computational Artificial Intelligence (IA) to detect and analyze human faces for a lot of purposes by governments and another organizations.
There are a lot of tools for developers using principally real-time optimized Computer Vision library that use a programming language language called Python both are Open Source and free to use.
Here the three more important cases for face detection in augmented reality:
AR Advertising
AR Advertising is a new and revolutionary way to show publicity and show products and services for brands allowing customers create their own awesome memorable experiences. This can be usable in websites, phone apps and AR devices like glasses and Head mounted that have access to interactive formats. This create a strong connection between brands, shops and services providers and customers.
In this moment there are now shops in Dublin that are using AR Advertising implemented with facial recognition to remembers clients and make more easy their product showing, creating a very special connections.
A very important challenge is create products forms, textures and usability in virtual environments but once got can save money and time.
Chinese AR Recognition to send Uighur Community in Concentration Camps
There is a association between China government and the tech giant Huawei in a development of a series of hardware and software that recognize facial factions of a specific ethnic community called Uyghur, for china government this ethical group represent a danger for country because their culture and religion and seen like a potential terrorism group.
When a Uyghur community member is recognized a system send a warning signal to police and there are a faster action to arrest and send to a concentration camp to any Uyghur community member where Uighur Ethnic "re-educated", most of the times years go by and people die.
AR Recognition for entertainment
Entertainment is the most important products that can be created using AR Face Recognition, snapchap is a very important example of this trendy.
You can use models, textures and object ahead your face in camera to make very funny interaction where before was impossible.
Conclusions
AR Face Recognition can be used in a lot of places and it is very useful for human interaction, advance and entertainment but can be used by bad people and organizations and is our right protect us against that.