Design And Implementation Of Artificial Intelligence Teaching Practice Platform

In recent years,as people from all walks of life become increasingly interested in the research of artificial intelligence technology,artificial intelligence begins to enter the public's vision and gradually permeates into every corner of daily life.Artificial intelligence can be seen in finance,e-commerce,automatic driving,customer service assistant and other fields.Fingerprint unlocking,face recognition and voice navigation have brought great convenience to our life.The development of artificial intelligence has entered a new stage.In the next few years,human life will be largely covered by artificial intelligence.In this context,it is particularly important for people to learn and master artificial intelligence technology as soon as possible.Education,as the most important part of talent cultivation,is gradually integrating with artificial intelligence to realize deep reform in the field of education.Traditional AI education mainly focuses on personalized teaching,educational games,educational robots,intelligent evaluation system,phonetic and lexical analysis and other applications,but these all tend to user experience,without letting users really understand the artificial intelligence knowledge system behind them.In this thesis,existing artificial intelligence technology is integrated into the teaching practice of primary and middle school students.By combining scratch graphical programming with artificial intelligence experiment,relatively complex programming and theoretical concepts are simplified,which is easy for primary and middle school students to understand and operate.This thesis mainly designs and implements the key modules involved in the platform.Firstly,this thesis expounds the research background and current situation of AI education,and compares it with the existing AI education,and puts forward the design idea of artificial intelligence teaching platform combining reality with reality.Then it introduces the platform architecture from hardware and software level,and explains the key modules and functions of the platform in detail.This thesis uses embedded equipment as the foundation of the platform,realizes the recognition function of each voice command by designing the speech recognition module,and realizes the object detection function in the real-time scene by the target detection module,and then realizes the complete logic output and test function by integrating all the modules in the scratch graphical programming system.Finally,the main work of this thesis is summarized,and the optimization and improvement direction of this platform is proposed,and the future research is prospected.