Sign Language Detection System
DOI:
https://doi.org/10.70914/Keywords:
SSD algorithm, Convolutional Neural Networks, Deaf Communication, Open-CV, Machine Learning, Gesture Recognition.Abstract
The ML based Sign Language Detection System aim learn-based application designed to
bridge the communication gap between hearing –impaired individually general
population.This model translates the signs gestures captured into text so that the user can simply
and read know what the person is trying to convey irrespective of whether the user has
knowledge about sign language or not.In this projectoom,a real- time ML-based system is built
using images captured with the help of webcam for sign language detection.The model uses the
SSD ML algorithm, and overcomes the above problems by directly recognizing the symbols
as words instead of letters.And detect sign language in real time using OpenCv.
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