With　the　widely　application　of　Unmanned　Aerial　Vehicle　(UAV)　in　transmission　lines　inspection,　the　aerial　images　taken　by　UAVs　can　be　utilized　to　detect　insulator　and　its　fault　for　further　maintenance.　In　this　paper,　we　propose　a　detection　method　for　insulator　and　its　fault　based　on　Faster　Regions　with　Convolutional　Neural　Network　(Faster　R-CNN).　The　proposed　method　contains　a　convolutional　network　followed　by　a　region　proposal　network　and　a　object　detector.　The　results　show　that　the　proposed　method　can　realize　effective　detection　of　insulators　and　achieve　a　precision　of　94%　and　a　recall　of　88%　on　the　testing　dataset.　Additionally,　the　computation　cost　of　the　proposed　method　meets　the　requirements　of　real-time　detection.　©　2018　IEEE.