We support the management of sustainable urban spaces through utilization of cutting-edge technology.
Road inspection AI
We replace conventional vehicle-based visual road damage inspections, as currently performed by many local governments, with AI (artificial intelligence) to accurately and speedily detect locations of road damage and to improve work efficiency.
Why should you select UrbanX Tech's road inspection AI?
There are an increasing number of local governments unable to carry out sufficient inspections due to budget constraints as well as experiencing shortages of technical staff. Although some local governments are conducting inspections of road surface conditions using specialized cars, comprehensive inspections cannot be performed because of the high costs involved. UrbanX Tech's technology enables real-time, quantitative road inspection utilizing only smartphones and drive-recorders.
Comprehensive
Only a smartphone is required.
Furthermore, comprehensively inspecting all roads under management
becomes feasible.
Efficient
As the damaged areas are visualized in real-time, the technology is useful to facilitate the quick repair of potholes and develop a long-term repair plan that takes into consideration factors such as the crack rate.
Quantitative
Our computer algorithms perform a quantitative road evaluation.
NEWS
www.urbanx-tech.com Blog Feed
代表取締役 前田の提案が2020年度のIPA未踏アドバンスト事業に採択されました！ (火, 07 7月 2020)>> 続きを読む
Global Road Damage Detection Challenge 2020にスポンサーとして参画します。 (Fri, 01 May 2020)
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東大IPC 1stRound-第五回 起業支援プログラムに採択いただきました。 (Wed, 22 Jan 2020)
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ホームページ開設のお知らせ (Tue, 21 Jan 2020)
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TEAM
Hiroya maeda
CEO
（Project Researcher, the University of Tokyo）
Yoshihide sekimoto
Director
（Associate Professor, the University of Tokyo）
CONTACT
COMPANY
Company UrbanX Technologies, Inc.
Founder Hiroya Maeda (CEO), Yoshihide Sekimoto (Director)
Founded 4/2020
Office CCR-512, 4-6-1, Komaba, Meguro-ku, Tokyo 153-0041, Japan
COMPANY LOGO
Our logo emphasizes our corporate philosophy of “gathering and consolidating information widely to create a bright future”. The upper triangle (▼), signifies collection and aggregation of information, whereas the lower triangle (▲), represents the extracting of value from the information. Gradations in color from deep blue to lighter shades, express the notion that chaotic real-world data is being consistently aggregated to create value for a smarter and brighter future.