Development of marker-based augmented reality system for object detection in an optimum latency time

Augmented reality is an emerging technique to monitor real-time environment to take a decision based on the collected data. With the advancement in the concept of augmented reality and rapid development of robots, there is a need to develop a system or a method to reduce the latency in the most challenging conditions. Although, now some applications are using marker less augmented reality technique due to complications in object detection and tracking in Boston dynamics (robotics) and real-time application we relied on fiducial marker based system. This paper mainly proposes an AR system which explains a guideline to detect the fiducial marker by an object (unidirectional movement) at minimum latency time. In this experiment, fiducial marker detection and position orientation with respect to the camera has been processed by 'Aforge.NET Framework' in combination with C# language and pose estimation. We designed machine marker detection algorithm and mathematics equation which compute the latency time in different challenging conditions lux, distance frame per second of camera in an optimum latency time.