As　one　of　the　most　important　features　of　human　face,　the　eye　location　plays　a　fundamental　role　in　many　application　fields.　For　example,　by　judging　the　eyes　state,　defining　whether　the　driver　is　in　the　state　of　fatigue.　At　present,　most　of　the　eye　detection　algorithms　in　fatigue　driving　are　based　on　laboratory　simulation　environment.　Therefore,　this　paper　is　based　on　the　real　car　environment,　collecting　the　pictures　from　the　driver　simulating　the　driving　condition.　Then,　using　the　method　of　region　segmentation　and　ellipse　fitting　to　locate　and　analyze　the　state　of　eyes.　All　experiment　pictures　are　collected　by　Android　phone　front　camera.　The　algorithm　runs　fast　and　is　suitable　for　real-time　processing.　At　the　same　time,　there　is　a　good　performance　of　eye　location　in　the　situation　where　there　exists　a　certain　facial　orientation　angle.