Open AccessUsing Artificial Intelligence to Improve Camera’s Recognition Function on Mobile Phone
Author(s) -
Zefeng Wang
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/768/5/052023
Subject(s) - computer science , augmented reality , human–computer interaction , mobile phone , mobile technology , multimedia , process (computing) , camera phone , mobile device , artificial intelligence , world wide web , telecommunications , operating system
There is a rising trend in the numbers of Artificial Intelligence (AI) applications in different fields include interaction design and mobile phone. In addition, mobile devices have been tools that people interact with every day. Thus, applying the combination of AI and interaction design to camera’s recognition of mobile devices is the central concern of this research. This report includes the discussion around two aspects towards mobile phones which are holography and augmented reality (AR). Within these two aspects, machine-learning-based technologies such as image recognition and face recognition have been applied to improve the user experience and interactions. In order to build a new bridge for the interactions between people and mobile phones, the proposal of this research is to design an AR-based 3D hologram system on mobile phones. This proposal will also include technologies of computer vision and eye tracking. Importantly, this combination will allow users to create their own new ways to connect virtual objects in the real world through mobile phones. To design this product, some methods such as concept mapping, case studies and prototyping will be used in the process. Moreover, this product may change the way between human and machine and take the interaction to a new degree.