自动化应用2024,Vol.65Issue(20) :159-160,164.DOI:10.19769/j.zdhy.2024.20.047

基于视频图像识别的电力施工现场安全自动监测研究

Research on Automatic Safety Monitoring of Electric Power Construction Site Based on Video Image Recognition

杨学海
自动化应用2024,Vol.65Issue(20) :159-160,164.DOI:10.19769/j.zdhy.2024.20.047

基于视频图像识别的电力施工现场安全自动监测研究

Research on Automatic Safety Monitoring of Electric Power Construction Site Based on Video Image Recognition

杨学海1
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作者信息

  • 1. 国网宁夏电力有限公司银川供电公司,宁夏 银川 751400
  • 折叠

摘要

电力施工现场安全监测识别结果不理想,为此,提出基于视频图像识别的电力施工现场安全自动监测的研究.通过结合非极大值抑制和自适应阈值生成,实现了双阈值分割操作,并利用三位独热码标记边缘点可能性;通过多维特征匹配和差值评估,有效识别了大部分施工现场的安全隐患.在测试结果中,只有少数情况未达到100.0%,但有效识别次数均超过19次,显著提升了安全监测的准确性.

Abstract

The safety monitoring and identification results of power construction sites are not ideal.Therefore,a research on automatic safety monitoring of power construction sites based on video image recognition is proposed.By combining non-maximum suppression and adaptive threshold generation,a dual threshold segmentation operation was achieved,and the possibility of edge points was marked using a three digit unique heat code.Through multi-dimensional feature matching and difference evaluation,most safety hazards at construction sites have been effectively identified.In the test results,only a few cases did not reach 100.0%,but the effective recognition frequency exceeded 19 times,significantly improving the accuracy of safety monitoring.

关键词

视频图像识别/电力施工现场/非极大值抑制/自适应阈值/双阈值分割操作/多维拟合

Key words

video image recognition/electric power construction site/non-maximum suppression/adaptive threshold/dual threshold segmentation operation/multi-dimensional fitting

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出版年

2024
自动化应用
重庆西南信息有限公司

自动化应用

影响因子:0.156
ISSN:1674-778X
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