Research On LED Intelligent Lighting Application Based On Human Action Recognition

In this paper,the embedded operating system and image processing are combined to realize the functions of the system.Embedded systems can be found everywhere in our lives,such as mobile phones,cars,and ATM ATMs used in everyday life.Like a traditional PC,it is also a computer system consisting of hardware and software.The hardware includes an embedded processor and peripheral hardware devices;the software includes an embedded operating system and application software.Behavior recognition technology is one of the most research-oriented topics in the field of image recognition in machine learning.It is widely used in our new generation of intelligent products,such as intelligent monitoring systems,rehabilitation medical systems,AR gaming experiences,social security systems,etc.With its characteristics of human thinking and judgment,it replaces the traditional and single intelligent control products,greatly reducing the output of labor costs,and is the trend of artificial intelligence products in today's society.In short,the purpose of behavior recognition technology is to explain the actions of human body behavior in the video image.The process of recognition mainly involves four steps: image preprocessing,image detection,feature extraction and behavior recognition.Behavior recognition technology allows the camera to replace the human eye,make the network connection become the human neuron,let the computer operating system replace the human brain,let the lower computer control system replace the human limb,and through the system's complex algorithm operation for the image,let The computer goes through the work of human beings who rely on intelligence to do the job.This paper designs a set of LED light control system based on human behavior recognition technology.The design purpose is to let the indoor intelligent lighting control system take human behavior as the main reference factor to further understand the human needs for indoor lighting level.The whole system is divided into three layers from top to bottom,which are video capture layer,behavior recognition layer,and LED lighting control layer.The video capture layer uses a traditional camera with the ARM9 development board to shoot humans who are active indoors.The behavior recognition layer uses the operating system as the intelligent gateway of Linux,and the intelligent gateway acts as the human brain.Therefore,its CPU processor has better performance and better architecture than the former,and this paper aims to display the human body motion and recognition of the camera more intuitively.Therefore,adopting laptop instead of intelligent gateway to operate win10 system,and writing upper computer operating system in VS2017.The lighting control layer uses high stability,low power consumption and low cost stm32 series chips.This downlink control chip has a large number of pins and can be connected with a wide range of peripherals.According to the results of various behavior recognition,it can be used for the system.The expansion of the overall function lays the foundation.In the indoor LAN,the communication method of the whole system adopts wireless communication mode,that is,WiFi communication is adopted between the first layer and the second layer,and LoRa communication is used between the second layer and the third layer.