Optical　measurement　can　substantially　reduce　the　required　amount　of　labor　and　simplify　the　measurement　process.　Furthermore,　the　optical　measurement　method　can　provide　full-field　measurement　results　of　the　target　object　without　affecting　the　physical　properties　of　the　measurement　target,　such　as　stiffness,　mass,　or　damping.　The　advent　of　consumer　grade　depth　cameras,　such　as　the　Microsoft　Kinect,　Intel　RealSence,　and　ASUS　Xtion,　has　attracted　significant　research　attention　owing　to　their　availability　and　robustness　in　sampling　depth　information.　This　paper　presents　an　effective　method　employing　the　Kinect　sensor　V2　and　an　artificial　neural　network　for　vibration　frequency　measurement.　Experiments　were　conducted　to　verify　the　performance　of　the　proposed　method.　The　proposed　method　can　provide　good　frequency　prediction　within　acceptable　accuracy　compared　to　an　industrial　vibrometer,　with　the　advantages　of　contactless　process　and　easy　pipeline　implementation.　©　2019　Jiantao　Liu　and　Xiaoxiang　Yang.