基于K210的视觉识别技术研究  

Research on Visual Recognition Technology Based on K210

作　　者：冯湛博 单超颖 FENG Zhanbo;SHAN Chaoying(School of Information and Control Engineering,Shenyang University of Urban Construction,Shenyang 110167,China)

机构地区：[1]沈阳城市建设学院信息与控制工程学院,辽宁沈阳110167

出　　处：《数字通信世界》2024年第6期21-23,共3页Digital Communication World

基　　金：沈阳城市建设学院大学生创新创业项目“基于视觉识别的口罩售卖机器人”(编号202313208001);大学生创新创业项目“基于视觉识别的口罩售卖机器人”(编号202313208001)资助。

摘　　要：文章首先深入分析了K210的视觉识别模块、超声波模块、人脸识别模块以及人脸口罩识别模块的功能和应用;随后提出了一种创新方案,即利用视觉识别模块进行车牌检测,并结合超声波模块测距技术来识别车型,从而实现对车辆的高效管理;接着探讨了如何利用人脸识别技术开发一套考勤系统,旨在解决课堂上因点名而浪费时间的问题,提升教学效率;最后展望了K210视觉识别技术在公共卫生领域的应用前景,为突发公共卫生事件时解决商场、医院等公共场所人们不佩戴口罩的问题提供了新的解决方案。The article first provides an in-depth analysis of the functions and applications of K210's visual recognition module,ultrasonic module,facial recognition module,and facial mask recognition module.Subsequently,an innovative solution was proposed,which utilizes a visual recognition module for license plate detection and combines ultrasonic module ranging technology to identify vehicle models,thereby achieving efficient vehicle management.In addition,the article also explores how to develop an attendance system using facial recognition technology,aiming to solve the problem of wasting time due to roll call in the classroom and improve teaching efficiency.Finally,the article also looks forward to the application prospects of K210 visual recognition technology in the field of public health,providing a new solution for solving the problem of people not wearing masks in public places such as shopping malls and hospitals during sudden public health emergencies.

关 键 词：K210 视觉识别 考勤系统 人脸口罩识别 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]