Jakarto data represents what's known as a digital twin. It's data that replicates in 3D any specific area—be it a worksite, a road, or an entire city. What sets Jakarto's data apart is that it leverages AI technology to create the most accurate digital twin possible. Specifically, AI simplifies the process of identifying and inventorying landscape elements (e.g. trees), as well as elements related to urban infrastructure (e.g. lampposts) and roads (e.g. signs).
To ensure the quality of its digital twins, Jakarto uses different sensors to capture three distinct types of data
LiDARs capture 3D point clouds
360-degree cameras capture a series of colour images
GPS geolocation and IMU correction data (Inertial Measurement Unit)
Depending on whether it's being used to create maps or extract inventory elements (in 2D and 3D), Jakarto's data can be broken down into four main categories.
Complete territory data for 3D viewing and immersion
2D data generated from complete 3D data
Data specific to one or more inventory categories, which represents elements in 3D
Data specific to one or more inventory categories, which represents elements in 2D
Jakarto’s 3D map data is unique in that it has “complete inventory” potential.
By leveraging AI technology, Jakarto can carry out processing chains for each inventory category. In other words, Jakarto fully automates the task of analyzing 3D data and extracting elements specific to landscapes and roads.
The 3D elements of any inventory category can be isolated and indexed in a database accessible by specialized software and dedicated systems.
Inventory categories might include:
Jakarto data is available in widely used file formats for open source software, including GIS, CAD, and BIM.
Jakarto disseminates data in "de facto" formats set by the industry or using standards set by the OGC (Open Geospatial Consortium). Its formats include .las for 3D and .shp for 2D.
Jakarto's 2D and 3D data is available in file formats compatible with software developed by Autodesk, Bentley, Dassault Systèmes, Esri, Hexagon, and even JMap from K2 Geospatial as well as Géo-Plus.