Fatigue　driving,　a　hot　issue　in　the　field　of　transportation　research,　has　become　a　worldwide　problem　which　always　leads　to　traffic　accident.　Existing　detection　method　always　based　on　costly　hardware　platform　sensors.　By　developing　an　android　APP　using　image　processing　algorithm,　we　can　lower　the　costs　and　enable　convenient　detection.　Generally,　face　detection　is　a　key　step　in　fatigue　drive　detection.　However,　correct　result　can＇t　be　required　by　Android　system　detection　API,　especially　in　side　face　detection　or　strong　light　condition.　A　smart-phone　based　algorithm　is　presented　in　this　paper　to　deal　with　side　face　situation　and　detection　under　strong　light.　Specially,　the　algorithm　is　based　on　a　number　of　AdaBoost　classifier　that　can　distinguish　different　poses,　and　it　exploits　the　color　skin　model　with　illumination　compensation　to　increase　detection　quality.