Sign Language Detection using Deep Learning

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Smit Patel, Tanushree Pardhi , Zankhana Shah


In this paper we put forward a system that bridges the gap between people who use Sign Language to
communicate and the computer. Sign Language Recognition systems, though much crucial, suffer the lack of implementation
in our common day to day devices. This paper focuses on various techniques and tools to help resolve this gap using Deep
Learning. Here we propose a system that recognizes sign language and predicts the right sign using a web camera. The
system uses Deep learning techniques, Convolution neural networks, max pooling and ReLU activation function. We aim to
create a software which is both affordable, much more accessible to the users and works without compromising with the
desired results.

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