XGRIDS Iyahlaziywa: I-LiDAR ephathwa ngesandla namawele edijithali afana nezithombe zangempela

#QUA #Quasa #xgrids

I-XGRIDS (evezwe ku-Quasa.io/projects/xgrids) iyinkundla yobuhlakani bendawo esebenzisa ubuchwepheshe obuphambili, ehlanganisa imishini ye-LiDAR ephathwa ngesandla enobuchwepheshe obusha nesofthiwe ethuthukile ye-3D Gaussian Splatting (3DGS).

Yenza kube nokwenzeka ukwakha kabusha izindawo zangempela nge-3D ngokushesha nangokunemba okuphezulu — iguqule izindawo eziphathekayo zibe amawele edijithali afana nezithombe zangempela ngemizuzu nje.

Umsebenzi oyinhloko we-XGRIDS ukuhlanganisa umhlaba ophathekayo nowedijithali ngokucubungula ulwazi lwendawo ngamakhompyutha ngokunemba okufinyelela kumasentimitha.

Izici ezivelele zihlanganisa:

• Izikena ze-LiDAR ze-Lixel Eziphathwa Ngesandla — Imishini ephathekayo esebenza kahle kakhulu (uchungechunge lwe-Lixel) yokuskena ngokushesha ngaphakathi nangaphandle, ethwebula imininingwane emihle kakhulu futhi okulula ukuyisebenzisa.
• Isofthiwe ye-Lixel CyberColor (LCC) — Inkundla ye-3DGS eletha uguquko ekwakheni amamodeli ngesikhathi sangempela, ekukhiqizeni izithombe ezifana nezangempela nasekuqondeni izindawo ngobuhlakani.
• I-Scan-to-BIM Nokuhlanganiswa Kwe-AI — Izandiso ezisebenzisa i-AI (kuhlanganise neze-Revit) ezikhiqiza ngokuzenzakalela amamodeli e-BIM asekelwe kumapharamitha kusetshenziswa idatha eskeniwe.
• Ukwakhiwa Kwamawele Edijithali — Ukwakhiwa kabusha okunembe kakhulu nge-3D okusetshenziselwa ukuklama izakhiwo, ubunjiniyela, ukwakha (AEC), ukulondolozwa kwamagugu, amafilimu/VFX, imidlalo, nemisebenzi yezimboni.
• Ukunemba Emazingeni Ahlukahlukene — Ukunemba kusukela ezingeni lamamayikhromitha kuya kwelamakhilomitha, ngama-algorithm asekelwe ku-SLAM nangokucubungula idatha okusatshalaliswe kumakhompyutha amaningi.
• Amakhono e-Real2Sim — Ukuthuthukisa i-AI esebenza emhlabeni ophathekayo, ubuchwepheshe bamarobhothi, nokuhlangenwe nakho okwenza umuntu azizwe engaphakathi kwendawo, ngokwakha imifanekiso yedijithali enembile yezindawo zangempela.

Ifaneleka kakhulu kubaklami bezakhiwo, onjiniyela, ochwepheshe bezokwakha, abalinganisi bomhlaba, abathuthukisi bemidlalo, abenzi bamafilimu, nezinhlangano ezakha amawele edijithali noma izinhlelo ze-AI eziphathelene nendawo. Ngo-2026, i-XGRIDS igqama njengomholi ekwenzeni ukuthwebulwa kwedatha yendawo nge-3D ngokwezinga lochwepheshe kusheshe, kufinyeleleke ngentengo futhi kufane nezithombe zangempela.

Abantu abakulo mkhakha bayayithanda:
&ldquo>Izikena ze-XGRIDS Lixel nesofthiwe ye-LCC zisinciphisele kakhulu isikhathi sokuthwebula izindawo zangempela, kuyilapho zikhiqiza izithombe zekhwalithi emangalisayo.”
&ldquo>Isandiso se-Scan-to-BIM esisebenzisa i-AI ku-Revit siletha uguquko olukhulu endleleni yethu yokusebenza ye-AEC.”
&ldquo>Ekugcineni, sesinesixazululo esiletha kokubili isivinini nokufana nezithombe zangempela kumaphrojekthi amakhulu amawele edijithali.”

Ivelele ikakhulukazi ekwakheni kabusha nge-3D ngokunemba okuphezulu, ekukhiqizeni izithombe ezifana nezangempela ngesikhathi sangempela nge-3DGS, ekuhlanganiseni imishini nesofthiwe ngaphandle kwezihibe, ekwenzeni imisebenzi ye-Scan-to-BIM izenzekele, nasekwenzeni kube nokwenzeka ukucubungula ulwazi lwendawo ngamakhompyutha ngobuchwepheshe besizukulwane esilandelayo ukuze kusetshenziswe i-AI emhlabeni wangempela.

Okushiyeka kukho: Kudingeka kutshalwe imali emishinini yezinga lochwepheshe ukuze kutholakale imiphumela engcono kakhulu; kudinga isikhathi ukufunda izindlela zokusebenza ezithuthukile ze-3DGS; amanani ahloselwe abasebenzisi abangochwepheshe namabhizinisi amakhulu.

Sekukonke, kochwepheshe nezinhlangano ezisebenza ngedatha yendawo ye-3D, amawele edijithali, noma ubuchwepheshe obenza umuntu azizwe engaphakathi kwendawo ngo-2026, i-XGRIDS ingenye yezinkundla zobuhlakani bendawo ezithuthuke kakhulu nezisebenziseka kakhulu ezitholakalayo. Isheshisa kakhulu ukuguquka kusuka ezintweni zangempela eziphathekayo kuya emihlabeni yedijithali enobuhlakani.

Zuza umvuzo we-QUA nge-Quasa nawe!

Izinkanyezi ezingu-4.8/5 (ivelele ekusunguleni ubuchwepheshe obusha be-3DGS nasekuhlanganiseni imishini nesofthiwe; ifaneleka kakhulu ezindleleni zochwepheshe zokucubungula ulwazi lwendawo ngamakhompyutha).

Qala: https://quasa.io/projects/xgrids