基于OpenMV的目标检测与跟踪系统研究  

Study on Object Detection and Tracking System Based on OpenMV

作　　者：蒙建兵 唐源[1] 黄梓杰 龙杰 蒙晓冬 MENG Jianbing;TANG Yuan;HUANG Zijie;LONG Jie;MENG Xiaodong(School of Electronic Engineering and Automation,Guilin University of Electronic Technology,Guilin,Guangxi 541004,China)

机构地区：[1]桂林电子科技大学电子工程与自动化学院,广西桂林541004

出　　处：《桂林航天工业学院学报》2025年第1期103-111,共9页Journal of Guilin University of Aerospace Technology

基　　金：国家级大学生创新创业训练项目“基于视觉的四旋翼无人机目标跟踪系统的设计与实现”(202310595045)。

摘　　要：文章详细探讨了基于OpenMV的目标检测与跟踪系统的设计与实现。该系统采用STM32单片机作为核心控制单元,结合OpenMV模块的强大视觉处理能力,实现了高效且精确的目标检测与跟踪。并进一步通过舵机云台的精确控制,系统能够动态调整摄像头角度,实时追踪目标,确保目标始终保持在视野中心。此外,为了提升系统在不同环境下的适应性,还集成了LED补光电路应对光线不足的情况;声光提示电路,提供直观的反馈;OLED显示模块用于实时显示系统状态和目标信息。经实验验证,该系统展现出高准确性、高稳定性和良好的用户体验,为智能视觉系统、无人机导航、安防监控等领域的研究与应用提供了有力的技术支持和宝贵的参考经验。This paper delves into the object detection and tracking system based on OpenMV.The system is centered around the STM32 microcontroller and combined with the OpenMV module to achieve efficient visual object detection,recognition,and tracking functions.Through the control of the servo gimbal,the system can adjust the camera angle in real time,ensuring that the target remains centered in the field of view.Furthermore,to enhance the adaptability of the system in different environments,the system also integrates an LED supplementary light circuit to deal with insufficient light conditions;an audible and visual prompt circuit to provide intuitive feedback;and an OLED display module for real-time display of the system status and target information.Experimental results demonstrate that the system exhibits high accuracy and stability,offering valuable insights for research and applications in related fields.

关 键 词：OpenMV 目标检测 目标跟踪 STM32 舵机云台 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]