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This project develops a real time hand gesture recognition system using Convolutional Neural Networks (CNNs) with TensorFlow, Keras, and OpenCV. The system captures video frames, processes hand gestures, and converts them into readable text, enabling real time communication between individuals who use sign language and those who do not. By leveraging OpenCV for hand detection and TensorFlow/Keras for deep learning, the system offers efficient performance, applicable in education, healthcare, and social settings. Future work will focus on expanding gesture recognition and optimizing for diverse environments.

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Hand Gesture Recognition Using Deep Learning

  • 会议论文

  • 发表日期：

    2026年

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  • Sri Lakshmi Sruthi Koppuravuri,
  • Pujitha Nekkalapudi,
  • Lavanya Durga Mucharla,
  • Sarika Sowjanya Mudunuri,
  • Kusuma Gayathri Kothapalli

摘要

This project develops a real time hand gesture recognition system using Convolutional Neural Networks (CNNs) with TensorFlow, Keras, and OpenCV. The system captures video frames, processes hand gestures, and converts them into readable text, enabling real time communication between individuals who use sign language and those who do not. By leveraging OpenCV for hand detection and TensorFlow/Keras for deep learning, the system offers efficient performance, applicable in education, healthcare, and social settings. Future work will focus on expanding gesture recognition and optimizing for diverse environments.