Due　to　the　characteristics　of　similar　appearance　and　dense　deployment　of　devices　in　industrial　field,　it　is　difficult　for　the　inspection　robot　to　recognize　similar　devices　in　industrial　field　only　by　machine　vision,　which　affects　the　accuracy　and　efficiency　of　autonomous　inspection.　To　solve　the　above　problems,　this　article　proposes　a　similar　industrial　devices　recognition　strategy　by　using　machine　vision　and　proximity　estimation　based　on　the　wireless　signal　characteristics　of　industrial　internet　of　things.　Firstly,　the　initial　pose　of　the　inspection　robot　is　estimated　by　machine　vision　and　the　efficient　perspective-N-point　algorithm.　Then,　the　proximity　estimation　algorithm　is　used　to　realize　the　recognition　of　proximal　industrial　devices　targets　by　inspection　robot.　On　the　other　hand,　the　strategy　also　includes　robot　angle　correction　and　position　adjustment　algorithm　to　ensure　the　accuracy　of　proximity　estimation.　Compared　with　the　traditional　recognition　method　based　on　machine　vision,　experimental　results　show　that　the　designed　strategy　can　improve　the　recognition　accuracy　of　similar　industrial　devices　by　2%　~49%　in　different　devices　density　scenarios,　which　effectively　solves　the　problem　of　similar　devices　recognition　of　inspection　robots　in　industrial　field.　©　2023　Science　Press.　All　rights　reserved.