• Version
• Download 2
• File Size 328.81 KB
• Download

SIGN LANGUAGE DETECTION SYSTEM

1st Mrs M Vasuki 1*,2nd M Ganesh 2 and 3rd L Kishor3,

1Associate Professor, Department of Computer Applications, Sri Manakula Vinayagar Engineering College (Autonomous), Puducherry 605008, India

2Post Graduate student, Department of Computer Applications, Sri Manakula Vinayagar Engineering College (Autonomous), Puducherry 605008, India

3Post Graduate student, Department of Computer Applications, Sri Manakula Vinayagar Engineering College (Autonomous), Puducherry 605008, India

*Corresponding author’s email address: kalavathilenin@gmail.com

Abstract: The ongoing project is a response to the challenges faced by individuals with hearing impairments, aiming to enhance their independence in daily life. The focal point of the initiative lies in the development of a sign language detection system, an immersive journey delving into the realms of computer vision and machine learning. Python serves as the primary programming language, with key dependencies including OpenCV and TensorFlow/Keras. The real-time interpretation of sign language gestures through a webcam forms the core functionality. The integration of the mediapipe library for hand tracking adds a dynamic layer to the coding experience, showcasing the application of computer vision principles to address real-world challenges. Beyond the technical intricacies, the project assumes a meaningful role in fostering inclusivity and accessibility. It transcends traditional coding exercises, instilling a sense of social responsibility by contributing to technology that empowers individuals with hearing impairments. This endeavour is a testament to the intersection between technology and humanity, exemplifying the broader impact that technology can have on people's lives. The project signifies the application of theoretical knowledge to create solutions that extend beyond mere lines of code. It represents a commitment to making a positive impact on individuals' lives by addressing a pressing societal need. In navigating this multifaceted project, the developer has not only honed technical expertise and problem-solving acumen but has also gained a profound awareness of the social implications of technology. In essence, this undertaking is more than just a coding exercise; it is an embodiment of the transformative power of technology when applied with empathy and purpose. It highlights the potential for technology to serve as a force for positive change, making strides toward a more inclusive and accessible future for all.

Keywords: Sign Language Detection System, Computer Vision, OpenCV Framework, Mediapipe Hand Tracking, Webcam-Based Detection, Human-Centered Computing, Positive Societal Impact