Research on Automatic Safety Monitoring of Electric Power Construction Site Based on Video Image Recognition
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.
video image recognitionelectric power construction sitenon-maximum suppressionadaptive thresholddual threshold segmentation operationmulti-dimensional fitting
万方数据
维普
