With　the　increase　of　the　replacement　frequency　of　mobile　phones,　the　recycling　of　used　mobile　phones　(UMPs)　has　gradually　become　a　hot　topic.　UMP　recycling　equipment　based　on　the　internet　of　things　technology　has　become　one　type　of　the　main　devices　to　recycle　UMPs,　but　there　are　still　some　problems　such　that　low　recognition　success　rates　and　tedious　recycling　steps.　The　key　to　solving　these　problems　is　to　improve　the　accuracy　of　UMP　recognition　(UMPR).　In　view　of　the　above　problems,　this　paper　reviews　the　methods　of　UMPR　for　UMP　recycling　equipment,　which　provides　support　for　improving　recycling　efficiency.　First,　we　briefly　introduce　the　structure　and　recycling　process　of　UMP　recycling　equipment.　Next,　the　four　typical　methods　of　UMPR　are　addressed　in　detail　and　their　respective　shortcomings　are　analyzed.　Then,　these　methods　are　summarized　and　analyzed,　and　the　shortcomings　and　deficiencies　of　the　current　UMPR　methods　based　on　artificial　intelligence,　especially　the　image　recognition　method　are　addressed.　Finally,　the　directions　for　future　research　on　UMPR　are　given　out.