Application | This example code implements machine vision-based image recognition on the M55M1 development platform. It can detect and recognize user hand gestures and human body positions to enable intelligent fan control, allowing remote fan operation and automatic human tracking functionality. |
BSP Version | M55M1_Series_BSP_CMSIS_V3.01.004 |
Hardware | NuMaker-GestureAI-M55M1 V1.0 |
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.
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