Driving the Future

PRODUCTS

Apps / Web Services

GigaScope Suite

Four Professional Desktop Applications

  • TraceMaker for AI-assisted damage mapping
  • Capture for synchronized multi-camera imaging
  • Atlas for map-based image and data management
  • JSON Works for viewing, searching, editing, and analyzing JSON data
Visit the GigaScope website
GigaScope application suite

A Professional Application Suite for Inspection and Measurement

GigaScope Suite is a family of professional desktop applications designed to turn vast quantities of complex field, inspection, and measurement data into practical deliverables. By linking images, inspection records, measurement data, and analysis results with time, location, and structural information, it enables users to move seamlessly from a complete overview to the specific areas and data they need to inspect, analyze, or edit.

The four GigaScope applications

Automated Crack Detection Web Service

Fast, accurate AI-assisted detection of cracks and efflorescence

C2finder automatically detects cracks and efflorescence in images of concrete structures, including bridges and tunnels. Simply upload images using a web browser to visualize the detected damage and obtain information about its shape, width, and length.

Visit mihari.net
Detection of cracks and efflorescence
  • Achieved 97% crack detection accuracy on concrete surfaces of bridges and tunnels
  • Delivers results in approximately 10 seconds
  • Supports large images and orthophotos
  • Provides both interactive processing and batch processing of up to 50 images
  • Allows detected cracks to be reviewed, added, or removed in the browser
  • Exports results as JPG, DXF, SVG, and CSV files
  • Available on a pay-as-you-go basis with no initial or monthly fees
  • Listed in the MLIT Performance Catalog for Inspection Support Technologies since FY2022.

Automated Crack Detection Web API

Integrate automated crack and efflorescence detection into your own systems and applications

  • Access C2finder technology through a straightforward REST API
  • Add automated damage detection to inspection systems, mobile applications, drones, and imaging platforms
  • Process images in the cloud without building or maintaining your own AI infrastructure
  • Usage-based pricing with no setup fee
Learn about the Web API
Cloud-based Web API

Cloud-Based Web API

The C2finder Web API enables developers and system providers to integrate automated crack and efflorescence detection into their own products and workflows. Images are submitted through a standard REST API, and detection results are returned for use in inspection, visualization, analysis, and reporting systems.

Integrated into MLIT Performance Catalog–Listed Technologies

The C2finder Web API has been integrated into five MLIT Performance Catalog–listed inspection technologies developed by four companies, covering bridge and tunnel inspections with UAVs, pole cameras, and SfM/MVS imaging.

SOLUTIONS

Multi-Camera Imaging System

Efficiently capture inspection targets with multiple synchronized cameras.

Developed in-house with the cooperation of Maintenance Network Co., Ltd. and Sony Marketing Inc.

Eight-camera imaging system

Eight-Camera Imaging System

We developed a controller and software capable of operating up to eight Sony ILX-LR1 cameras simultaneously. The ILX-LR1 combines a compact, lightweight body with the imaging performance of a full-frame sensor.

The resulting synchronized multi-camera system is compact enough to be mounted on a vehicle roof rack, enabling tunnel walls and other large structures to be photographed efficiently while the vehicle is moving. Images captured from multiple viewpoints can also be used to generate detailed 3D models through SfM/MVS processing.

Related Links

Sony customer story: How the ILX-LR1 Transformed Infrastructure Inspection (Japanese)

Maintenance Network YouTube Channel: Creating 3D Tunnel Models with Photogrammetry—Tunnel SfM/MVS Technology

Pothole Detection Technology

Detect road-surface potholes in real time using vehicle-mounted LiDAR and AI.

Developed under commission from Shutoko Engineering Company Limited and Technical Link Co., Ltd.

Vehicle-mounted pothole detection system

Vehicle-Mounted Pothole Detection System

We developed a high-speed AI system that detects potholes from 3D LiDAR data acquired by a moving vehicle. The system processes approximately 3,000 LiDAR scan lines every five seconds, enabling potholes to be detected while surveying road surfaces.

The location and dimensions of each detected pothole, together with corresponding video footage, are transmitted from the vehicle to a central management system over a mobile network. The results are then displayed in real time on a web-based geographic information system (WebGIS).

Our proprietary WebGIS enables users to locate detected potholes on a map, search results by date, time, and pothole size, and review the associated video footage.

LiDAR pothole detection data

Pole Camera Development

Inspect elevated and confined areas safely from the ground.

Developed under commission from Shutoko Engineering Company Limited.

We developed a pole camera system with an application for controlling the camera and motorized pan-tilt head, capturing images, and accessing automated crack detection.

Pole camera system

Pole Camera System

In addition to the control application, we developed the motorized pan-tilt head and distance-sensor unit. Users can select a Sony DSC-RX0 II for high-resolution imaging or a lightweight webcam when minimizing the overall system weight is the priority.

While viewing the camera’s live feed on a tablet, the operator can remotely adjust the pan and tilt angles and capture high-resolution still images at the press of a button. Captured images are stored locally and can also be uploaded to a cloud service with a single click for automated crack detection.

The system enables inspectors to observe and photograph elevated, narrow, and difficult-to-access areas efficiently without operating the camera directly at the inspection point.

Related Link

Shutoko Engineering: Ai-Ai Lightweight Vertical Pole Camera (Japanese)

TECHNOLOGIES

  • Image Processing
  • mage processing is one of our core research and development strengths. We have extensive experience in developing technologies for object detection and recognition, image classification, and change detection, with a proven track record of applying them to practical systems.

  • Anomaly Detection
  • Our anomaly detection technologies are not limited to still images and video. We also develop systems that detect foreign objects and anomalous patterns in data from vibration sensors and other non-image sources.

    Because anomalous data is often difficult to collect in sufficient quantities, achieving reliable performance with conventional machine-learning approaches can be challenging. We have the experience and expertise to develop practical detection systems using limited training data.

  • 3D Measurement
  • We develop technologies that improve measurement accuracy by extracting and integrating reliable spatial data from point clouds captured with compact, affordable 3D cameras, including Intel RealSense devices.
    Example: YouTube video

  • C2finder® Damage Detection Technology
  • C2finder® uses proprietary AI and image-processing algorithms to detect deterioration and damage, including cracks and efflorescence, in images of concrete structures.

    The technology has achieved 97% mean average precision (mAP) for crack detection on concrete surfaces of bridges and tunnels. A typical image of approximately 5,000 × 3,600 pixels can be processed in about four seconds.

COMPANY

2024-05-01
Relocated from Higashiarai, Tsukuba, to our current location
2022-09-06
C2finder was listed for bridges and tunnels in the FY2022 MLIT Inspection Support Technology Performance Catalog. MLIT Inspection Support Technology Performance Catalog (Japanese)
2021-09-15
Selected for the FY2021 Tsukuba Society 5.0 Social Implementation Trial Support Program. Tsukuba City program page (Japanese)
2021-07-01
Launched the automated crack detection Web API. Web API information at mihari.net (Japanese)
2021-04-26
Increased capital from JPY 5 million to JPY 10 million
2021-03-02
Certified as an AIST Technology Transfer Venture

Stay at the forefront of technology.

Strive for the highest level of performance.

Turn every technological achievement into greater peace of mind and happiness for people.

TechnoHighway is a company built by engineers.
>As children, we took apart every device we could get our hands on. We built radio-controlled cars from spare parts and raced them across vacant lots. We watched in wonder as the programs we had written came to life on a computer for the first time.
Those moments captivated us. Even when we failed, we kept experimenting and taking on new challenges, driven by the belief that we could create something better.
What can engineers like us do?
We can create technologies, refine them, bring them into the world, and inspire the next generation.
Every day, we imagine, develop, and perfect technologies that make people’s lives safer, easier, and happier.

Technohighway Co.

Established
August 26, 2019
Capital
JPY 10 million
Representative
Takeshi Nagami, Representative Director
Address
Tsukuba Industrial Promotion Center, Room 206
2-5-1 Azuma, Tsukuba, Ibaraki 305-0031, Japan
Contact
+81-29-879-5401 (main)
contactus@technohighway.co.jp

Business Activities

  • Research, development, evaluation, and sales of maintenance and management technologies for environmental and infrastructure facilities and equipment
  • Research, development, evaluation, and sales of image processing and sensing technologies
  • Research, development, and sales of information processing and cloud services
  • Research, development, evaluation, and sales of information and communications devices and other telecommunications equipment
  • Planning, design, and consulting related to the activities listed above

Access

By train: Approximately five minutes on foot from Tsukuba Station on the Tsukuba Express line
By highway bus: Approximately five minutes on foot from Tsukuba Center