On the Subject of Hand Sign Detection

• Developed a project that uses Computer Vision to detect hand signs.
• Utilizes image processing techniques to identify and classify different hand signs.
• The system can accurately recognize hand signs from images or videos.
• Demonstrates the application of Computer Vision in interpreting human gestures and sign language.
• Offers potential use in communication aids, gesture-based interfaces, and accessibility technologies.
• Showcases your expertise in implementing Computer Vision projects with practical applications.

Hand Sign Detection Demo

Project Genre





Technologies Used

  • Python
  • Convolutional Neural Network