基于机器视觉的高压输电线路部件缺陷识别技术研究

Key Points

• The aim is to develop efficient and accurate machine vision techniques for identifying defects in high-voltage transmission line components.
• Designed data acquisition plans to gather relevant images and data.
• Optimized image preprocessing techniques for clarity and accuracy.
• Developed models for extracting and recognizing defect features.
• Implemented methods for defect localization and severity assessment.
• Introduced strategies to enhance robustness in complex environments.
• The proposed techniques improved defect recognition accuracy and efficiency.
• Models demonstrated enhanced robustness against varying environmental conditions.
• Real-time processing capabilities were successfully optimized for edge deployment.