The system will accurately estimate road profiles through ordinary drives once a smartphone is mounted to the vehicle. The installation is not limited to a specific location as long as the smartphone is fixed to the vehicle body.
Bringing you to the Next Generation Social Infrastructure Maintenance and Management
Next-generation road management platform
GLOCAL-EYEZ×ROAD evaluates the condition of the road surface and roadside facilities. It automatically computes road flatness (IRI), road surface anomalies and roadside facility damages on the cloud based on the measured vehicle vibration and in-vehicle image data acquired by a smartphone attached to any vehicle. GLOCAL-EYEZ×ROAD support a series of maintenance and management tasks, spanning from routine road management to inspections and the selection of repair activities.
GLOCAL-EYEZ×ROAD provides accurate evaluation of road profile in an economical way by analyzing the response of a vehicle using only a smartphone.
Using GLOCAL-EYEZ×ROAD technology, road managers can collect and analyze road surface information through state-of-the-art data assimilation and artificial intelligence, receiving real-time insights on road status with a smartphone and a camera equipped device.
GLOCAL-EYEZ X ROAD can easily calibrate the vehicle parameters using regular driving data. Our product automatically estimates and incorporates dynamic characteristics into the vehicle profile. There is no need for laboratory testing or test runs at specific conditions for vehicle calibration.
IT IS BASED ON ROAD SURFACE EVALUATION TECHNOLOGY THAT HAS BEEN STUDIED FOR MANY YEARS IN THE BRIDGE RESEARCH LABORATORY OF THE UNIVERSITY OF TOKYO. THIS INNOVATIVE TECHNOLOGY USES MEASUREMENT ENGINEERING, CONTROL ENGINEERING, DATA ASSIMILATION TECHNOLOGY, OPTIMIZATION TECHNOLOGY, ETC. TO OBTAIN IRI AND FLATNESS, WHICH ARE EVALUATION INDICES OF PAVEMENTS, WITH THE SAME HIGH ACCURACY AS DEDICATED ROAD SURFACE MEASURING VEHICLES.
GLOCAL-EYEZ X ROAD detects road surface anomalies roadside facility damages through images acquired from cameras and GPS enabled-devices, and continuously learns new environments and conditions through deep learning.
GLOCAL-EYEZ X ROAD is capable of integrating data from vehicles all over the world to a hosted server or the GLOCAL-EYEZ cloud, which automatically analyzes the data and provides visualization of road conditions. Big data on road profile brings comprehensive understanding of the road network conditions. The cost-effective solution enables the participation of private and commercial vehicles in road condition monitoring. Leveraging big-data, GLOCAL-EYEZ X ROAD revolutionizes the industry and boosts road maintenance efficiency to an unprecedented level.
SUPPORT FOR DAILY PATROL MONITORING
By merely mounting a smartphone onto a patrol vehicle, the system autonomously identifies lanes and examines pavement conditions, including road IRI, road flatness, road steps; potholes, cracks, rutting, etc.
Quantitative assessment of physical distance and area is possible: road width, pothole area, crack length, and the length and area of additional deformations.
AI, WHICH LEARNS SIGNS OF POTHOLE OCCURRENCE FROM A LARGE AMOUNT OF DATA, IMMEDIATELY IDENTIFIES AREAS WITH A HIGH PROBABILITY OF POTHOLE OCCURRENCE, THEREBY CONTRIBUTING TO PREVENTIVE MAINTENANCE AND REDUCTION OF DEFECT ACCIDENTS (UNDER DEVELOPMENT).
Output Various Forms and Results
Our system supports the efficiency of inspection work by managing and outputting various forms and statistical results on the cloud: Japan national style inspection record form, list of potholes, abnormal areas of roadside facilities, blurred areas of markings, etc.
Inspection of Roadside Facilities
By merely mounting a smartphone onto a patrol vehicle, the system autonomously inspect roadside facilities, such as guardrail, road sign, road gutter and curb damages, etc.
Time Series Data Analysis
Through the examination of time-series images from identical locations, road segments necessitating prompt intervention or demonstrating hastened deterioration can be automatically identified and managed.
List of Priority Repair Areas
The system delivers comprehensive assessments grounded in diverse indicators (potholes, cracks, subsidence, rutting, etc.) and recommends repair priorities.
You can take pictures of roads that need repairs during patrols and upload them easily to the web system using our app.
SUPPORT FOR PERIODIC INSPECTION
MCI Evaluation Based on National Stardard
By transforming in-vehicle perspective images into bird-view images, it is possible to quantitatively calculate the crack ratio and rut depth based on japanese road standard. In addition, patented technology from the University of Tokyo allows us to calculate road surface evenness and IRI based on vehicle vibrations, and we can compute the MCI by combining the crack ratio and rut depth. It is also possible to generate reports in compliance with national standards.
AI automatically calculates the length of cracks, number of intersections, etc. from the road surface plan and predicts deterioration based on these indicators.
Cause Analysis and Repair Report
AI analysis of big data generates reports on the causes of damaged areas and optimal repair methods.