Computer Vision for Hand Gestures
Jonas Robin, Mehul Soni, Rishabh Dubey, Nimish Arvind Datkhile, Jyoti Kolap · 2020
The model developed here is used to detect specific items from the environment. The desired objects to be detected from the environment is hands(gestures). So, for computer to look at the environment computer vision is the most necessary aspect. Based, on the gesture present in the image captured along with the unnecessary objects, the image is processed and the important message is kept and rest is discarded. After processing the neural networks are introduced for to elevate the standards of computer vision there by allowing computer to know about the gesture provided by the humans. Here the recognition of the image is done by using Convolution neural network (CNN) algorithm, the gesture is predicted and this predicted result is shown on the screen connected or an audio device connected.