With the rapid development of power technology

the degree of power infrastructure cabling is increasing

and various cable failures and accidents happen more frequently. In order to improve the detection accuracy of cable structure parameters before entering into the site and installation

and to effectively prevent and reduce the hidden dangers caused by physical defects for the safe and stable operation of cables

a cable structure parameter detection system based on machine vision technology is studied. The system collects the section images of cable in real time through machine vision module

optimizes the image processing algorithm and develops the detection program

widens the types of cable structure size parameters that can be detected under the field conditions

and realizes the storage and output of detection data. The convenience of non-contact detection and the traceability of data are conducive to improving the accuracy of quality control before cable entry and installation. Through comparative analysis and field test

it shows that the proposed system has a good practical operation and strong practical value.