In this project, our collective goal was to develop a real-time sign language detection system using deep learning techniques with Tensorflow and Python. Implementing a Single Shot Multibox Detector (SSD) for object detection, specifically tailored to recognize and interpret sign language gestures was our primary focus in the project.
The primary objective of this project was to create a robust and efficient system capable of recognizing and interpreting sign language gestures in real-time using laptop camera. The implementation revolves around leveraging the power of Tensorflow's Object Detection API and utilizing the SSD architecture for accurate and fast detection of sign language gestures.
Built With
- api
- camera
- detection
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