AI-Powered Hand Gesture Control for Touchless E-commerce Experiences
1. Introduction
The central idea of this project is the use of an AI model, specifically the Hand Landmarks Detection, which allows me to detect and identify hand landmarks in a video feed. In simple terms, I use a standard desktop camera to capture video, then this video is processed and hand landmarks are drawn onto a canvas.
What's remarkable about this AI model is its capability to return the coordinates of detected hand landmarks. These coordinates can be used to replace the standard mouse cursor.
I have also set up some hand gesture detections, for instance, the pinch gesture. To achieve this, I calculate the distance between the thumb tip and index finger tip. Depending on the distance and the positions, the pinch gesture could be interpreted as an equivalent of a mouse click, further enhancing the interaction capabilities of this system.
In the following sections of this blog, I'll walk you through the entire process, from setting up the environment to implementing and testing the gesture controls. Stay tuned!
