With　the　rapid　development　of　Internet　of　Things　(IoT)　and　edge　computing,　a　lot　of　edge　devices　are　connected　into　the　network,　including　the　cameras　that　are　used　and　applied　in　many　scenarios,　for　example,　the　indoor　environment.　Now,　in　order　to　solve　the　problem　of　fast　location　of　object　indoors　with　low　cost,　the　monocular　vision　based　object　location　method　is　proposed　in　this　paper.　First　of　all,　the　pixel　coordinates　of　the　objects　are　obtained　by　target　matching,　and　then　the　area　of　the　object　on　the　captured　image　is　calculated　for　rough　matching.　Finally,　the　precise　coordinates　of　the　objects　to　be　located　are　obtained　through　their　center　values　and　recognized　by　the　fine　matching.　Experimental　results　indicate　that　the　proposed　method　has　better　performance.