THE "EFFORTS TO INTEGRATE ROAD PATROL AND PAVEMENT INSPECTION WITH A SIMPLE ONBOARD CAMERA - GLOCAL-EYEZ" HAS RECEIVED THE MINISTRY OF LAND, INFRASTRUCTURE, TRANSPORT AND TOURISM EXCELLENCE AWARD AT THE INFRASTRUCTURE MAINTENANCE GRAND PRIZE AWARDS. FOR MORE DETAILS, CLICK HERE (MINISTRY OF LAND, INFRASTRUCTURE, TRANSPORT AND TOURISM RELEASE) ■ABOUT THE INFRASTRUCTURE MAINTENANCE AWARDS THE INFRASTRUCTURE MAINTENANCE AWARDS RECOGNIZE OUTSTANDING EFFORTS AND TECHNOLOGICAL DEVELOPMENTS RELATED TO INFRASTRUCTURE MAINTENANCE IN JAPAN, AND INTRODUCE THEM WIDELY AS BEST PRACTICES TO PROMOTE THE EFFORTS OF BUSINESSES, ORGANIZATIONS, RESEARCHERS AND OTHERS INVOLVED IN INFRASTRUCTURE MAINTENANCE IN JAPAN, THE PURPOSE OF THE AWARDS IS TO PROMOTE THE EFFORTS OF BUSINESSES, ORGANIZATIONS, RESEARCHERS, AND OTHERS INVOLVED IN INFRASTRUCTURE MAINTENANCE IN JAPAN, TO INVIGORATE THE MAINTENANCE INDUSTRY, AND TO SPREAD THE PHILOSOPHY OF INFRASTRUCTURE MAINTENANCE.

We are pleased to announce that our proposal, "Technology development and server implementation for more efficient daily management of pavements and bridges and faster response to disasters," has been selected for the "Small and Medium Business Innovation Promotion Project (SBIR Phase 3 Fund Project)" under the second supplementary budget for fiscal 2004 by the Ministry of Land, Infrastructure, Transport and Tourism (maximum grant amount: 277 million yen). ). We will utilize our core technologies, pavement inspection technology using on-board equipment and bridge inspection technology using drones, to improve the efficiency of daily management of pavements and bridges and speed up disaster response. Technology-related URL: https://prtimes.jp/main/html/searchrlp/company_id/107939

We are pleased to announce that our joint proposal with the University of Tokyo Graduate School of Engineering and Nichireki Corporation has been selected by the Kanto Regional Development Bureau of the Ministry of Land, Infrastructure, Transport and Tourism for the 2022 Matching Project with Universities and Other Research Institutes as a technology that will contribute to improved productivity at construction sites through DX promotion. Ltd. have been selected as technologies that will contribute to improving productivity at construction sites through the promotion of DX. The adopted R&D theme is "Development of a Simple Evaluation Method for Rut Excavation and Improvement of Productivity of Inspection Work by Automatic Calculation of MCI," and is expected to be a new technology that will contribute to "higher-level maintenance management of social infrastructure. For more information, please refer to the press release by the Kanto Regional Development Bureau of the Ministry of Land, Infrastructure, Transport and Tourism at the following URL https://www.ktr.mlit.go.jp/ktr_content/content/000837766.pdf

■ "Summary of FY2021 Research Results" published The research results of the Kanto Regional Development Bureau Matching Project of the Ministry of Land, Infrastructure, Transport and Tourism, in which the University of Tokyo, Nichireki Corporation and our company were jointly involved in research and development, have now been published on the website of the Ministry of Land, Infrastructure, Transport and Tourism. https://www.ktr.mlit. go.jp/gijyutu/gijyutu00000108.html ■Research Summary: It has been difficult with conventional technology to quantitatively evaluate crack rates from road surface images captured by smartphones and drive recorders installed inside vehicles. The University of Tokyo, Nichireki Corporation, and our company have worked to develop a technology that can accurately calculate crack rates from images taken by general-purpose devices such as smartphones and drive recorders using our unique video image processing AI.

IN THE AREA OF "CRACK RATE" EVALUATION, THROUGH YEARS OF RESEARCH AND DEVELOPMENT, WE HAVE OVERCOME THE WEAKNESSES THAT ARISE WHEN USING SIMPLE EQUIPMENT, SUCH AS IMAGE QUALITY AND ANGLE OF VIEW, AND HAVE SUCCEEDED IN QUANTITATIVELY CALCULATING "CRACKS" FROM ROAD SURFACE IMAGES CAPTURED BY CAMERAS INSTALLED INSIDE VEHICLES. BASED ON THESE RESEARCH RESULTS, GLOCAL-EYEZ WAS THE FIRST TECHNOLOGY TO USE IN-VEHICLE CAMERAS, AND PARTICIPATED IN THE PERFORMANCE TEST IN FY2022 IN THE FIELD OF "CRACK RATE. WE WILL CONTINUE OUR CUTTING-EDGE RESEARCH AND DEVELOPMENT TO REALIZE OUR GOALS OF "FROM SIMPLE DEVICE TO RIGOROUS RESULTS" AND "FROM PATROL TO INSPECTION".

We are pleased to welcome Mr. Nori Party, Associate Professor of Science, Saitama University, as our technical advisor, who has been engaged in research on social infrastructure inspection, damage detection and monitoring using UAV, AI and IoT, and will provide high quality service to more customers based on his rich knowledge.

OUR TECHNICAL ADVISOR, ASSOCIATE PROFESSOR TOMONORI NAGAYAMA, GAVE A LECTURE AT THE CONSTRUCTION TECHNOLOGY FORUM HELD AT SUNSHINE CITY EXHIBITION HALL ON 25 NOVEMBER 2021. THE TITLE OF THE LECTURE WAS "DEVELOPMENT OF QUASI-REAL-TIME WIDE-AREA ROAD SURFACE CRACK RATE EVALUATION TECHNOLOGY USING IN-VEHICLE CAMERAS", AND HE INTRODUCED THE CONTENTS OF THE THREE-WAY COLLABORATION BETWEEN THE UNIVERSITY OF TOKYO, NICHIREKI CORPORATION AND OUR COMPANY UNDER THE MATCHING PROJECT OF THE KANTO REGIONAL DEVELOPMENT BUREAU OF THE MINISTRY OF LAND, INFRASTRUCTURE, TRANSPORT AND TOURISM. RESEARCH OUTLINE: IN RECENT YEARS, WE HAVE SEEN CASES OF AUTOMATIC DETECTION OF PAVEMENT CRACKS USING PHOTOGRAPHY AND AI TECHNOLOGY, BUT IT IS DIFFICULT TO ACCURATELY CALCULATE THE CRACK RATE USING GENERAL-PURPOSE PRODUCTS SUCH AS DRIVE RECORDERS INSTALLED IN THE VEHICLES OF OFFICE AND BRANCH OFFICE STAFF. USING VIDEO PROCESSING TECHNOLOGY, THE CRACK RATE CAN BE ACCURATELY CALCULATED. CLICK HERE FOR MORE INFORMATION

WE ARE PLEASED TO ANNOUNCE THAT WE HAVE SIGNED A JOINT RESEARCH AND DEVELOPMENT AGREEMENT WITH THE LABORATORY OF CONSTRUCTION AND STRUCTURAL ENGINEERING, GRADUATE SCHOOL OF SCIENCE, SAITAMA UNIVERSITY, FOR THE DEVELOPMENT OF DRONE BASED SOCIAL INFRASTRUCTURE INSPECTION TECHNOLOGY. THROUGH THIS JOINT RESEARCH, WE WILL IMPROVE THE ACCURACY OF AI ANALYSIS ON IMAGES ACQUIRED FROM DRONES AND IMPLEMENT A SERVER FOR LARGE-SCALE SOCIAL IMPLEMENTATION.

We are pleased to announce the update of the Chinese version of our road survey web service "GLOCAL-EYEZ", which aims to improve road maintenance management by consolidating and integrating AI inspection results on BIM models. https://www.smc-tech.com/wp-content/ uploads/2021/06/BIM2.mp4