Hand Gesture Recognition With Yolov8 On Oak-d In Near Real-time

This tutorial will provide an overview of the process of deploying an object detection model on the OAK-D platform, as well as the skills to recognize hand gestures using OAK-D’s camera with the help of the DepthAI API in Python. It will cover the use of computer vision techniques like object detection to analyze and interpret images or videos of human movements to recognize hand gestures. Additionally, it will discuss the importance of temporal information in hand gesture recognition, as well as provide an example of recognizing one of five hand gestures using the OAK-D platform.