This is like setting up smart cameras to constantly watch a landslide-prone slope and automatically measure how it moves in three directions, instead of sending engineers out with measuring tapes and sensors all the time.
Traditional landslide and slope deformation monitoring during remedial construction is labor‑intensive, discontinuous (periodic manual surveys), and can miss early warning signs. Using computer vision allows continuous, remote, and dense 3D deformation measurements to detect dangerous movements early and guide construction decisions.
Domain-specific vision algorithms and calibration workflows for triaxial deformation in complex outdoor construction environments, plus historical monitoring data from specific sites that improve accuracy and reliability over time.
Unknown
Unknown
High (Custom Models/Infra)
Robustness and accuracy of vision-based measurements under varying outdoor conditions (lighting, weather, occlusion), and calibration drift over time for precise 3D deformation estimation.
Early Adopters
Targets a very specific but high-impact niche—triaxial deformation monitoring for landslide remedial construction—using vision instead of or alongside traditional geotechnical instruments, enabling dense spatial coverage without extensive physical sensor deployment.