机器视觉在智行卫士障碍物检测中的原理及应用

Principle and Application of Machine Vision in Obstacle Detection of Zhixing Guards

摘要: 本文聚焦于基于OpenMV的机器视觉在智行卫士障碍物检测领域的原理及应用。首先，详细阐述机器视觉的基础理论，包括图像获取、处理、分析和理解的过程，探讨其如何通过摄像头等设备采集道路场景图像。接着，深入剖析机器视觉在智行卫士障碍物检测中的具体应用，如基于深度学习的目标检测模型如何实现对不同类型障碍物的精准检测与定位，以及该技术在实时性、准确性和可靠性方面的优势与面临的挑战。通过对实际案例的分析，验证了机器视觉在智行卫士障碍物检测中应用的有效性，为进一步提升智能交通系统的安全性和稳定性提供了理论支持与实践参考。

Abstract: This paper focuses on the principle and application of machine vision based on OpenMV in the field of Zhixing Guard obstacle detection. Firstly, the basic theory of machine vision is described in detail, including the process of image acquisition, processing, analysis and understanding, and how to collect road scene images by camera and other equipment is discussed. Then, the specific application of machine vision in Zhixing Guard obstacle detection is thoroughly analyzed, such as how the object detection model based on deep learning achieves accurate detection and positioning of different types of obstacles, as well as the advantages and challenges faced by this technology in terms of real-time, accuracy and reliability. Through the analysis of practical cases, the effectiveness of the application of machine vision in the detection of obstacles of Zhixing Guard is verified, which provides theoretical support and practical reference for further improving the safety and stability of intelligent transportation system.