Sign Detection Model for the Deaf People using Deep Learning

Abstract

Sign detection is a crucial task in various computer vision applications, including autonomous driving, robotics, and augmented reality. This paper proposes a novel sign detection model based on deep learning techniques. The proposed model leverages convolutional neural networks (CNNs) to automatically learn discriminative features from sign images, enabling robust detection performance across diverse environmental conditions. Keywords: sign detection, deep learning, convolution neural networks, computer vision, autonomous driving, robotics, augmented reality.