Sign Language Classifier based on Machine Learning

Sign Language Classifier based on Machine Learning

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Sign language represents battery an efficient way for individuals with hearing impairments to communicate.We propose a sign recognition systeminto which several tools are integrated to help with the image pre-processing part.By doing so, a machine learning model was developed that does not require a lot of processing power because instead of using the images themselves, it uses extracted data from them to connect this model to a mobile interface that the users will use to recognisesigned letters successfully.

The communication between the client and the model is sustained through a local server.Introducing sign language into assembly processes is not only a gesture of respect for diversity and inclusion but also a strategic decision that brings tangible benefits.It improves communication, safety, employee morale and overall efficiency, an essential element in achievingoperational excellence Lacrosse - Shoes and an integrated workplace.