ScanX Analyzes Point Clouds in the Cloud with Cesium
Point cloud processing has traditionally required high-performance computers and extensive human involvement. Locus Blue, a Cesium Certified Developer based in Japan, created ScanX to automate point cloud data segmentation and make visualization accessible on the web. ScanX is a browser-based platform using CesiumJS to provide access to massive datasets, enable timely analysis, and reduce reliance on specialized equipment.
ScanX, released in 2020, has processed more than 10,000 datasets in Cesium for construction companies, municipalities and first responders, foresters, and insurance companies, among others. It has users in 43 of Japan’s 47 states, with plans to make its SaaS platform available globally. Japanese city governments, as well as the national government, are building 3D models of their country to enable collaboration across industries, visualize crowded areas, and encourage public input on development.
The advanced machine learning algorithms behind ScanX remove noise in the point clouds and automatically segment the data to highlight waterways, land, vegetation, buildings, wires, and other classifications, so users get the information they need quickly.
With a single URL, entire dashboards and data-derived intelligence can be shared within organizations and across outside collaborators, enabling smooth teamwork and timely action. Insurance companies and aid organizations, for example, can detect hazards and damage after natural disasters; municipalities can manage smart city projects and infrastructure maintenance; construction companies can monitor progress; and foresters can count and measure trees and estimate carbon data.
ScanX plans to add more objects to be segmented, increase tools for change detection, and support heat maps.
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