Our radar business has been providing a wide variety of non-destructive testing equipment and systems incorporating our independently developed radar technologies for maintaining and managing social infrastructure since 1990. Today, we integrate radar with laser imaging, artificial intelligence and information and communication technologies to continuously develop comprehensive inspection and analysis services.
- We have developed a special vehicle that detects cracks in road tunnels.
- We have commercialized MPLA radars which are capable of creating three-dimensional images of objects.
- We develop and provide radar systems suited to specific applications.
Supporting social infrastructure
that is safe and brings peace of mind
Constructed during the period of Japan's rapid economic growth, more and more roads, tunnels and bridges are now over 50 years old. The inspection of social infrastructure is a social issue. Our activities aimed at supporting safety and peace of mind range from the development and provision of radar systems suited to customers' applications to the inspection of tunnels, bridges, reinforcing bar in buildings and other inspections as well as data analysis services.
MPLA10Gi (high resolution type)
Tunnel Catcher 3 - tunnel surface imaging vehicle
Inspecting the inside of tunnel lining concrete
Expanding the application of independently
developed MPLA radars to many different inspections
Developed from the high frequency technologies that we excel in, Multi Pass Linear Array (MPLA) radars scan a target to collect three-dimensional array data and reproduce it as a three-dimensional image. This enables a clear understanding of the state inside the target, such as reinforcing bars. This helps improve the efficiency of different types of non-destructive inspection.
Example three-dimensional analysis results using the MPLA radar (reinforced concrete)
- Three-dimensional view
- Top perspective view
- Cross-section perspective view
Introducing AI to quickly provide
high quality analysis results
We have developed a system that uses AI technologies to automatically analyze research and inspection data on the cloud. It is already being utilized in, for example, the detection of hollows underneath road surfaces, cracks in road surfaces and cracks in tunnel lining concrete. Synchronizing captured data with the position data of the search vehicle paves the way for the monitoring of the aging and degradation of road surfaces.