A　novel　event　sensor-based　object　localization　method　is　proposed　in　this　paper.　It　addresses　the　accuracy　limitations　of　event　sensors　caused　by　their　limited　spatial　resolution　and　binary　grayscale　levels.　The　method　uses　flickering　beacons　and　replaces　the　event　camera＇s　lens　with　a　mask　printed　with　a　marker　field.　This　configuration　distributes　location-coded　events　across　the　entire　sensor　instead　of　confining　them　to　a　small　region,　as　in　traditional　methods.　Major　algorithms,　including　pattern　simulation　and　optimized　matching,　are　designed　to　achieve　3D　localization　and　pose　estimation.　Experiments　show　a　17.3%　accuracy　improvement　over　state-of-the-art　event-based　methods　in　average　translation　error,　consistent　across　varying　distances　and　angles.　This　demonstrates　its　suitability　for　surgical　navigation,　virtual　reality,　and　other　precise,　real-time　localization　tasks.