SIGN LANGUAGE DETECTION AND GESTURE RECOGNITION

Sun, 31 Mar 2024 00:00:00 +0000

Sign language is a very important means of communication for people with hearing difficulties, through which they can express themselves and interact. In our project, we developed a system that quickly understands gestures in sign languages as performed in videos. For this system we have used an advanced object detecting algorithm known as YOLO v5. Our goal is to help the deaf communicate better by recognizing their signs.

We have trained our system to follow different signs in real time video feeds and interpret them into texts. After much testing and fine-tuning, we made sure that our model could perform well even in contrasting situations. More than any other technique, it can accurately comprehend what is being signed. This system has taken major strides towards assisting the deaf through such technologies like computer vision and deep learning.

Our system in the real-time sign language detection has come up with an effective solution to help improve communication and accessibility by people with hearing impairment. Furthermore, it helps easier interaction between deaf individuals and those who can hear properly. Through this project, we anticipate facilitating easy participation in meaningful engagements that will lead to their empowerment in order express themselves better and communicate assertively with others.

IJO -International Journal Of Computer Science and Engineering (ISSN: 2814-1881)

SIGN LANGUAGE DETECTION AND GESTURE RECOGNITION