Research And Design Of Home Multi-function Robot

With the gradual aging of the population in our country,the release of second childbearing policie and the increase in employment pressure,more and more young people are facing the problem of a heavier burden on the family's economy,which makes them work hard.No time to look after the elderly and children better.The continuous development of technologies such as artificial intelligence,robotics,and Internet of Things,as well as people's demand for intelligent products,make it an inevitable trend for home multi-function robot to enter ordinary families.The home multi-function robot system studied in this article will help people to look after the elderly and children better,help people to grasp the family environment,help people to ensure family safety,promote the popularization of smart life,realize smart cities and maintain the society.Stability also has very important practical significance.In this paper,Raspberry Pi microcontroller as the core,combined with Arduino microcontroller,designed and developed a home multi-function robot system,used to assist family members,to protect the family.The system has the functions of environmental data monitoring and real-time video monitoring in environmental monitoring;real-time remote control function in sports behavior;face recognition in safety authentication.In the environment monitoring module,this article adopts Wi-Fi protocol,TCP/IP protocol and HTTP protocol to realize wireless network signal transmission,adopts H.264 video coding scheme to encode and decode the real-time monitoring video image signal,and adopts RTP/RTCP protocol to realize.The transmission of the video stream uses the C/S architecture,B/S architecture,database and server design to realize the storage and display of home environment monitoring data,so as to realize the environment data monitoring and real-time video monitoring function of the home multi-function robot system.In the remote mobile control module,this article has designed a system that users can remotely control the home multi-function robot through the mobile phone control terminal.The user can remotely send command keywords to the robot through the mobile phone control terminal.The robot's Raspberry Pi microcontroller analyzes the command keywords after the signal is captured,and sends the resolved keywords to the Arduino microcontroller,Arduino microcontroller.Firstly,the parsed keywords are discriminated,the user needs themachine motion mode,and then the bottom driver is controlled to execute,so as to realize the user's remote control of the robot system.In the face recognition module,this paper designs a face recognition security verification system based on deep learning.The trained Res-Net face recognition model is transplanted in the embedded device,the face image is detected using a machine learning algorithm,and the key points of 68 individual faces are extracted,further identified using a deep residual network algorithm,and finally by comparison Euclidean distance is used to identify the user's identity so as to realize the face safety verification function of the home multi-function system.In the part of system implementation,this article first introduces the hardware interface involved in the robot system,draws the hardware interface circuit diagram and designs the system function algorithm,then draws the circuit interface schematic diagram,programmatically realizes the system function,and use cases are carried out in the robot system for different functional modules.Finally,it is shown that the home multi-function robot system designed in this article can accurately monitor home environment data such as indoor temperature and humidity and smoke concentration,and can perform real-time video surveillance on the home environment and the monitoring screen is clear and smooth.It can identify users by face recognition.Accurate identification enables users to flexibly control the remote movement of the robot.