Data usage

Leverage Jakarto data in several ways

Jakarto data

These data constitute what is known as a Digital Twin, which is a faithful 3D representation of the territory covered, whether it is a site, a road or a city. Jakarto distinguishes itself by maximizing the potential of the digital twin thanks to artificial intelligence (AI). Indeed, AI makes it possible to generate inventories by automating the identification and extraction of landscape elements (e.g. trees) and urban infrastructure (street lamps) and roads (traffic signs).

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Types of data produced

Jakarto data can be broken down into four main types, depending on whether they are intended to represent the territory or to extract inventory elements, in 2D and/or 3D

3D Mapping Data

The 3D cartographic data contains the maximum detail and precision offered by the sensors used in acquisition. This 3D data feeds the content of software that supports the 3D mode, such as GIS (Geographic Information Systems), CAD (Computer Aided Design) and BIM (Building Information Modeling) software.
2D Cartographic Data
The 2D map data provides the same high resolution as the original 3D source to support a plan view in CAD. This 2D map data can also be simplified and generalized to allow for smaller scale mapping in a GIS.
3D Inventory Data

Jakarto's 3D mapping data has the unique characteristic of being "absolute inventory capable", which is essential for the generation of inventory data.

By using the power of AI, Jakarto can train and design processing chains specific to each type of inventory. The 3D data is thus analyzed to automatically identify and extract elements of the landscape and of the urban and road infrastructure. The 3D elements of an inventory theme can be isolated and stored in a database for full exploitation in specialized software and dedicated systems.
2D Inventory Data
Jakarto can generate an inventory that isolates elements and represents them in 2D. The result is a series of treatments on the data with absolute inventory capacity in order to identify the elements in a 3D universe, but where the extraction simply geolocates them and represents them in 2D, by a geometry in the form of a point, line or zone.