In　this　paper,　a　new　detection　method　of　high　voltage　bushing　is　proposed　using　Hu　invariant　moments　and　Support　Vector　Machine　(SVM),　which　is　designed　in　regard　to　both　complex　environments　of　transformer　substation　and　the　characteristics　of　pictures　obtained　by　inspection　robots.　The　Niblack　algorithm　is　first　used　as　a　binarization　method　to　decrease　the　influence　of　changing　of　lighting.　The　morphology　method　is　then　used　to　remove　messy　interference　while　maintaining　the　morphological　characters　of　the　target,　and　a　few　potential　regions　of　high　voltage　bushing　can　be　found.　Hu　invariant　moments　is　used　to　extract　the　features　of　the　potential　positions,　and　a　SVM　is　trained　to　classify　and　recognize　the　positions　of　high　voltage　bushing.　The　experimental　results　show　that　the　proposed　detection　method　is　effective　and　it　can　remove　the　complex　background　of　the　substation　and　reduces　the　influence　of　changed　lighting,　shooting　position　and　shooting　angle.