A set of point data with three-dimensional coordinates (x, y, z) and optical color information (R,G,B).
The data acquired using the method described below can be saved as digital data and processed according to what it will be used for.
That is why this method is now being used in a wide range of fields.
Our most common measurement methods are as follows.
We select the appropriate method depending on the scale and subject.
A laser is directed towards the target object to capture its surface,
and the distance is calculated by measuring the time delay between receiving the reflected wave, resulting in the creation of a 3D computer-generated model.
Aerial Surveying : Drone
Ground-Based Surveying : 3D Scanner
GNSS Surveying
The object is photographed from various angles, and then this data is analyzed and synthesized to generate a 3D computer-generated (3DCG) model.
The relative camera position is estimated from multiple photos of the object.
The technology then combines this to restore the 3D shape based on the texture of the object’s surface to generate high-density point cloud data.
Furthermore, our company adds high-definition image quality, making it possible to generate one-of-a-kind point cloud data.
Mataverse construction
VR content creation
BIM model production
Digital archive
Data analysis and testing
Analysis
Composite point cloud data according to the purpose of analysis, and remove noise and unnecessary objects. Then, AI analysis is performed to determine the type of object and area of the object, and to measure dimensions and recognize space.
Composition
By connecting the points of data with edges or surfaces, the data is converted into triangle or rectangle mesh (polygon) data. The data is then regularly divided to create high-density, high-definition 3D models with smooth curvilinear expressions and highly flexible surface editing.
01
By implementing power consumption reduction measures and analyzing the data to determine the extent of reduction, we can calculate the corresponding decrease in CO2 emissions, helping to improve the environment.
Furthermore, we help contribute to the realization of a carbon-neutral society by measuring and analyzing the amount of CO2 absorbed and accumulated by forests and using this information under the Forestry Agency’s J-Credit business.
02
With the aim of undertaking a digital transformation of urban development, we are set to be involved in a project led by the Ministry of Land, Infrastructure, Transport and Tourism to promote the development, utilization, and open data of 3D models of cities.
We will be mainly in charge of modeling the point cloud information and will increase the number of projects we work on through collaboration with the primary contractors.
03
Even though Japan is a country where natural disasters occur frequently, many cultural assets are not recorded as illustrations, or this information is stored as paper documents. By acquiring point cloud data before a disaster strikes and creating a 3D model, we can record cultural assets as illustrations and achieve reconstruction quickly in the event of a disaster.
04
When buildings are damaged by natural disasters such as earthquakes, visual inspection work by appraisers is a headache.
By acquiring and comparing point cloud data before and after the disaster, highly transparent information can be obtained quickly from digital information, which in turn makes it possible to issue a damage certificate quickly.
※Business model patent pending
〒602-8061
Nishijin Business Incuvation Center
97 Kainomori-cho, Kamigyo-ku,
Kyoto city, Kyoto
今出川オフィス（京都支店）
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