Optimizing latency time of the AR system through glyph detection

Abstract

ABSTRACTIn recent time, latency plays a key role in the entire concept of augmented reality as well as in real-time applications. With the innovation in the theory of augmented reality and rapid advancement of real-time applications (robotics), there is a requirement to advance a system or a method to optimize the latency time in various challenging conditions. However, there is no standard method for optimizing glyph detection latency time through the Augmented Reality framework in the literature. Even though, currently some applications are using the marker (glyph) less AR system, there are challenges in the detection of object in real-time application and to overcome this complication, the glyph detection system is proposed. Here, we propose the machine glyph detection algorithm and mathematical formulation which calculate the optimized latency time through the rectifier and infra-red light in challenging conditions. The detection process and position of glyph have been processed by the ‘AForge.NET Framework’ and the POSIT algorithm. The experimentation outcomes calculate the performance of the proposed algorithm in terms of optimizing latency and accuracy.