Facial　recognition　applications　for　Android　Based　Wearable　Devices　(ABWD)　can　benefit　from　cloud　computing　as　they　become　easy　to　acquire　and　widely　available.　There　are　several　applications　of　facial　recognition　in　terms　of　assistance,　guidance,　security　and　so　on.　We　can　greatly　reduce　the　processing　time　by　executing　the　facial　recognition　application　on　cloud,　and　clients　will　not　have　to　store　the　big　data　for　the　image　verification　on　their　local　machine　(mobile　phones,　pc＇s　etc.).　Comparing　to　the　cost　of　acquiring　an　equally　strong　server　machine,　cloud　computing　increases　the　storage　and　processing　power　with　very　less　cost.　In　this　research　plan　is　to　enhance　the　user　experience　of　augmented　display　on　android　based　wearable　devices,　and　for　doing　that,　this　system　is　being　proposed　in　which　a　person　wearing　Android　based　smart　glasses　will　send　an　image　of　an　object　to　Hadoop　(open-source　software　for　scalable,　reliable,　distributed　computing)　powered　cloud　server.　Facial　Recognition　Application　on　cloud　server　will　recognize　the　face　from　already　present　database　on　server　and　then　respond　results　to　Android　Based　Wearable　client　devices.　Then　android　based　wearable　smart　devices　will　display　the　detail　result　in　form　of　augmented　display　to　the　person　wearing　them.　By　transferring　the　process　of　facial　recognition　and　having　the　database　on　cloud　server,　multiple　clients　no　longer　need　to　maintain　their　local　databases　and　the　device　will　require　less　processing　power　which　results　in　reduction　of　cost　and　processing　time.