摘要
针对运动目标自动追踪系统复杂且成本较高等问题,文中旨在设计一种成本低廉且易于部署的基于STM32F103C8T6、OpenMV摄像头和二维舵机云台的运动目标自动追踪系统,以解决传统自动追踪系统设备昂贵、算法复杂难于推广的问题,并为OpenMV摄像头在安防监控等领域的应用提供新的思路。该系统主要由主控模块、OpenMV摄像头模块、二维舵机云台模块、电源模块、OLED显示模块组成,通过OpenMV摄像头模块识别特定阈值的色块或矩形图形,并处理色块与矩形角点位置信息,将处理后的数据通过串口通信发送给主控模块,再由主控模块通过PID算法与运动算法控制二维舵机云台模块运动,从而实现运动控制与自动追踪。最后通过激光笔测试装置实际追踪效果,整合数据进行分析验证,该运动目标控制与自动追踪系统的理论研究与设计能够达到目标效果。
In view of the fact that the moving object control and automatic tracking system is complex and costly,this paper aims to design a low-cost and easy-to-deploy moving object automatic tracking system based on STM32F103C8T6,OpenMV camera and 2D gimbal,so as to reduce the equipment cost of the automatic tracking system,decline the algorithm complexity,and provide new idea for the application of OpenMV camera in security monitoring and other fields.The system is composed of the main control module,OpenMV camera module,2D gimbal module,power module and OLED(organic light-emitting diode)display module.By the OpenMV camera module,the color blocks or rectangular graphics with specific threshold values are identified,and the position information of the color blocks and rectangular corners is processed.The processed data is sent to the main control module by serial communication.And then,the motion of the 2D gimbal module is controlled by the main control module by PID algorithm and motion algorithm,so as to realize the motion control and automatic tracking of the moving object.The laser pen testing device is used to test the actual tracking effect of the system.The data is integrated to analyze and verify whether the theoretical research and design of the system can achieve expected effect.
作者
徐涢基
王峥
邹佳民
王燊炀
方健
XU Yunji;WANG Zheng;ZOU Jiamin;WANG Shenyang;FANG Jian(School of Traffic and Transportation,Nanchang Jiaotong Institute,Nanchang 330100,China;Key Laboratory of Robot&Welding Automation of Jiangxi,Nanchang University,Nanchang 330031,China)
出处
《现代电子技术》
北大核心
2024年第17期166-172,共7页
Modern Electronics Technique
基金
江西省教育厅科学技术研究项目(GJJ218402)
江西省高等学校教学改革研究省级立项课题(JXJG-23-35-3)
南昌交通学院教学改革研究课题(XJJG2022-13)。
