Industrial visual inspection electromechanical system based on digital retina
基于数字视网膜的工业视觉检测机电系统

摘要

基于数字视网膜的工业视觉检测机电系统融合仿生视觉感知算法与高精度机电传动技术，可实现工业场景中动态目标的实时检测与精准定位。数字视网膜单元模拟生物视觉的多层级处理机制，通过多通道特征融合强化对微小缺陷的识别能力，搭配伺服驱动系统完成检测路径的自适应调整，解决传统视觉检测在高速、复杂环境下抗干扰性差、响应滞后等问题。该系统构建 “视觉感知-运动控制-决策反馈”一体化架构，通过软硬件协同优化提升检测精度与效率，为工业生产质量管控提供智能化解决方案，对推动制造业自动化升级意义重大。

Abstract

The industrial visual inspection electromechanical system based on digital retina integrates bionic vision algorithms and high-precision electromechanical transmission technologies, enabling real-time detection and accurate positioning of dynamic targets in industrial scenarios. The digital retina unit simulates the parallel processing mechanism of biological vision, enhances the ability to identify tiny defects through multi-channel feature fusion, and cooperates with the servo drive system to complete adaptive adjustment of detection paths. This solves problems such as poor anti-interference performance and response delay of traditional visual inspection in high-speed and complex environments. The system constructs an integrated architecture of "visual perception - motion control - decision feedback", improves detection accuracy and efficiency through hardware-software collaborative optimization, provides an intelligent solution for quality control in industrial production, and is of great significance for promoting the automation upgrade of the manufacturing industry.