Pioneering the Future of Steel
What we do
Steel Scrap Analysis Application
We are developing an application that uses a camera attached to the scrap yard of a steel company or recycling company to take pictures of scrap and automatically perform grading and foreign object detection using AI.
The application is expected to not only improve efficiency and reduce manpower in acceptance inspection work, but also reduce dilution costs and prevent hazards caused by sealed and explosive materials.
We are currently developing a beta version for full-scale operation.
Image Analysis Algorithm
Our proprietary image analysis algorithm is used for grading and foreign material detection. We have succeeded in developing a high-performance AI that can be used in the field, not only through our image analysis technology, but also by having our developers go to the field themselves to learn and understand the inspection methods of the on-site inspection staff.
Company's story
We are developing an application to analyze steel scrap, a raw material for steel recycling, with high accuracy. By accurately determining the quality of steel scrap, efficient recycling can be realized.
This application will solve the problem of shortage of skilled human resources. Furthermore, more precise quality control of steel scrap will not only lower production costs, but also enable the production of steel materials that were previously difficult to produce, thereby expanding the potential of steel recycling.
About the Technology
Advanced Image Analysis Algorithms
We use a proprietary image analysis algorithm to analyze scrap iron.
The image characteristics of scrap iron are different in each factory due to differences in the shooting environment, there is a wide variety of objects to be detected and the amount of data for each object is very small, and the image of an entire truck loaded with scrap iron is extremely large compared with ordinary images. In some cases, the developers themselves live and work on site.
In addition, sometimes the developers themselves live and work onsite to learn from the experience and know-how of experienced workers and reflect it in the algorithm.
In recent years, the reduction of carbon dioxide emissions has become a major issue due to increasing environmental risks, and we are now at a major turning point toward the realization of carbon neutrality. And the Japanese steel industry, which has long prided itself on its high technological capabilities, should be the one to lead this trend.
We will use technology to create the future of the steel industry and pave the way for the realization of a carbon-neutral society.