The inspection of overhead transmission line puts forward higher requirements for the accuracy and efficiency of the image recognition algorithm. The article studies the application status of existing image recognition algorithms in the intelligent inspection system

analyzes the technical bottlenecks in data adaptability

model calculation load

and target detection accuracy

puts forward a comprehensive improvement strategy based on data enhancement

model lightweight and accuracy optimization

builds an efficient recognition model suitable for edge equipment deployment

and discusses the performance and integration effect of the optimization algorithm in field inspection

which has important engineering application value for improving the automation level of power inspection and ensuring the safety of line operation.