[M55M1] Gesture-Controlled Smart Fan

This example code demonstrates how to implement image recognition on the NuMaker-GestureAI-M55M1 development platform by combining machine vision algorithms to detect user gestures and human body position information, thereby enabling intelligent fan control. Through real-time image analysis, the system interprets gesture commands to control fan operations such as start, stop, and operating modes. At the same time, it utilizes a human-tracking mechanism to automatically adjust the fan's direction and follow the target's position. This approach enables intuitive long-distance control without requiring physical contact or a conventional remote controller, while enhancing user convenience and interaction experience. It serves as a practical reference for integrating embedded AI technologies into smart home appliance applications.

You can download the sample code at EC_M55M1_Gesture_Smart_Fan_Control_V1.00.