Locus Blue Co., Ltd. Process, analyze, and share 3D point cloud data Add “3D mesh generation” (beta version) function to “Scan X” Automatically generate mesh models from all point cloud data

Locus Blue Co., Ltd.
Processing, analysis, and sharing of 3D point cloud data “3D mesh generation” (beta version) function added to “Scan X” Automatic mesh model generation from all point cloud data
“3D mesh generation” function introduction Construction DX exhibition Tokyo (Japan Build) 12/5 (Mon)-7 (Wed) / Online seminar 12/15 (Thursday), January 12, 2023 (Thursday) (participation free)
Locus Blue Co., Ltd. (Headquarters: Shibuya, Tokyo) provides software “ScanX” that can classify and analyze 3D point cloud data obtained with various devices such as laser scanners (LiDAR) online with high accuracy. Ward, representative: Satoshi Miyatani) will release a new function “3D mesh generation” (beta version) on ScanX from Friday, December 02, 2022.
Japan Build Construction DX Exhibition (Tokyo) to be held on December 5th (Monday), 6th (Tuesday), and 7th (Wednesday) at the Scan X booth at the “3D mesh generation” function, and 12 An online seminar will be held on Thursday, January 15, 2023 and Thursday, January 12, 2023. Features of ScanX “3D mesh generation” function
■ Automatically generate a mesh model from point cloud data
A mesh model is automatically generated from 3D point cloud data acquired by a laser scanner (LiDAR), etc., simply by pressing the mesh generation button.
Generate optimal mesh models with advanced parameter settings and different parameter settings for each class.
It is also possible to generate a mesh after excluding point clouds with untargeted classification information.
■ Supports various file formats
Can output in file format of glb, gltf, obj, off, ply, stl.
■ It can be used for a wide range of purposes, such as presentations to clients and as part of materials for explaining local residents. ■ Available in price plan “Pro Plan” or higher.
[Image 1

Example of mesh model generation after classification using deep learning [Image 2

Example of mesh model generation after classification using deep learning [Image 3

Example of hard-to-mesh rock with intricate 3D structure
Construction DX exhibition (Tokyo) “3D mesh generation” function introduction in Scan X booth
We will introduce each function such as 3D mesh generation function, tree analysis function, etc. and guide you to advantageous campaigns. You can actually touch and operate ScanX.
Information sessions will also be held at the following dates and times. -date and time-
December 5, 2022 (Monday) 11:00 / 15:00
December 6, 2022 (Tuesday) 11:00 / 15:00
December 7, 2022 (Wednesday) 11:00 / 15:00 *The content is the same each time. -place-
Tokyo Big Sight West Exhibition Hall Japan Build Construction DX Exhibition Inside the Scan X (Locus Blue) booth (booth number 20-1)
-Construction DX Exhibition Invitation Ticket-
https://www.japan-build.jp/tokyo/ja-jp/search-ex/2022/kdx/directory/details.org-ef82110f-f88f-46a5-94b6-bdd2c62fcf1d.html#/ ScanX “3D mesh model generation” function introduction webinar held We will hold an online briefing session to introduce the details of the mesh generation function. A free trial account will also be issued during the information session.
-date and time-
December 15, 2022 (Thursday) 16:00-16:45
Thursday, January 12, 2023 16:00-16:45
*The content is the same each time. Conducted via Zoom.
-contents-
・ Features of cloud 3D point cloud processing software “ScanX” ・Characteristics, usage, and examples of the “3D mesh generation” function ・”ScanX” free trial account issuance
·Question-and-answer session
Participation free (pre-registration required)
-Application- https://scanx.jp/news/20221201form
About “ScanX”
“ScanX” was released in September 2020 and is currently used by everyone in the construction, civil engineering, and surveying industries in 42 prefectures. “ScanX” automates tasks that used to be labor intensive, saving time and producing uniform results for everyone. Data from multiple sites can be processed by multiple users at the same time using only the Internet, a browser, and a
general-purpose PC, making work more efficient. No initial cost, from 29,800 yen [tax included] per month. Supports Japanese. NETIS registration. Received the 2021 “i-Construction Grand Prize” Minister of Land and Infrastructure Award.
You can try the Pro plan free for 14 days. Click here for document request https://scanx.jp/document
Company Profile
Locus Blue Co., Ltd. is a startup established in 2019 with the mission of “creating new value with 3D data for the world’s industries and societies.”
In promoting smart cities, the Ministry of Land, Infrastructure, Transport and Tourism is aiming to promote DX, ICT, and the
realization of digital twins, and there are increasing expectations for the use of 3D point cloud data. We also perform analysis according to your request, such as advanced point cloud analysis for each industry.
“ScanX” reflects the voices of users and evolves so that it can respond to social issues such as the declining birthrate and aging population, labor shortages, and needs such as remote management of construction sites. We are working to expand the range of utilization of 3D point cloud data together with users, not on the side that provides software and the side that uses it.
Company name: Locus Blue Co., Ltd. (former Scan-X Co., Ltd., changed in April 2022)
Established: October 2019
Head Office: Shibuya Ward, Tokyo
Representative: Satoshi Miyatani
Website: https://scanx.jp/
TEL: 050-1742-3040
Details about this release:
https://prtimes.jp/main/html/rd/p/000000019.000065008.html

MAIL:cr@prtimes.co.jp

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One thought on “Locus Blue Co., Ltd. Process, analyze, and share 3D point cloud data Add “3D mesh generation” (beta version) function to “Scan X” Automatically generate mesh models from all point cloud data

  1. Great site you have here but I was curious about if you knew
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    I’d really like to be a part of group where I can get advice from other experienced individuals that share the same interest.
    If you have any recommendations, please let me know.
    Many thanks!

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