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2 posts tagged with "Gesture recognition"

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· 4 min read



In recent years, computer vision has emerged as a transformative technology with the potential to revolutionize various industries by enabling automation at unprecedented levels. Computer vision refers to the field of artificial intelligence (AI) that empowers machines to interpret and understand visual information from the world around them. This ability holds immense promise in overcoming complex challenges in automation, streamlining processes, and enhancing efficiency across industries. In this article, we will explore five common problems that computer vision helps to overcome and discuss the significant impact it has on various sectors.

· 6 min read
Sushmith Banoth

Gesture classification using computer vision involves recognizing and categorizing hand or body movements captured by cameras as input, with the goal of inferring the intended gesture. This can be achieved through various techniques such as image processing, machine learning, and deep learning.

The process starts with capturing video or image data of the gestures, followed by preprocessing and feature extraction. After that, the features are fed into a machine-learning model that has been trained to recognize gestures, resulting in the classification of the input gesture. This technology has various applications in human-computer interaction, gaming, sign language recognition, and other fields.