Computer Vision Gestures Recognition System Using Centralized Cloud Server

Abstract

Gesture recognition is a progressive technology that enables communication between humans and computers without any physical interaction. In recent years, gesture recognition technology has provided remarkable advancements in the technology world. A computer vision cloud-based gesture recognition system represents the potential of cloud computing to process and analyze the collected data. This paper examines the various growing aspects of gesture recognition using computer vision and cloud technology. Here we introduce a computer vision-based gesture processing unit that works on a cloud server and is used to enable real-time interaction between the physical world and the virtual server. It will help to use high-end gesture processing technology for every kind of device user. All the data will be collected using vision- based devices and monitored and processed on the centralized server. So the user doesn't have to be a highly efficient device. While using this system, the user can experience both the recent cutting-edge cloud infrastructure as well as the recent gesture recognition system. Not only humans but also object gestures can be recognized by using this proposed system. So this paper aims to represent a significant step toward a cloud-based interaction between human gestures and digital devices.