Current　inspection　for　installation　quality　of　high　formwork　is　conducted　by　site　managers　based　on　personal　experience　and　intuition.　This　non-systematic　inspection　is　laborious　and　it　is　difficult　to　provide　accurate　dimension　measurements　for　high　formwork.　The　study　proposed　a　method　that　uses　terrestrial　laser　scanning　(TLS)　technology　to　collect　the　full　range　measurements　of　a　high　formwork　and　develop　a　genetic　algorithm　(GA)　optimized　artificial　neutral　network　(ANN)　model　to　improve　measurement　accuracy.　First,　a　small-scale　high　formwork　model　set　was　established　in　the　lab　for　scanning.　Then,　the　collected　multi-scan　data　were　registered　in　a　common　reference　system,　and　RGB　value　and　symmetry　of　the　structure　were　used　to　extract　poles　and　tubes　of　the　model　set,　removing　all　irrelevant　data.　Third,　all　the　cross　points　of　poles　and　tubes　were　generated.　Next,　the　model　set　positioned　on　the　moving　equipment　was　scanned　at　different　specified　locations　in　order　to　collect　sufficient　data　to　develop　an　GA-ANN　model　that　can　generate　accurate　estimates　of　the　point　coordinates　so　that　the　accuracy　of　the　dimension　measurements　can　be　achieved　at　the　millimetre　level.　Validation　experiments　were　conducted　both　on　another　model　set　and　a　real　high　formwork.　The　successful　applications　suggest　that　the　proposed　method　is　superior　to　other　common　techniques　for　obtaining　the　required　data　necessary　for　accurately　measuring　the　overall　structure　dimensions,　regarding　data　accuracy,　cost　and　time.　The　study　proposed　an　effective　method　for　installation　quality　inspection　for　high　formwork,　especially　when　the　inspection　cannot　be　properly　operated　due　to　cost　factors　associated　with　common　inspection　methods.