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Digitalization EVERSTEEL Inc.

EVERSTEEL Inc. Logo

EVERSTEEL's mission is to reduce CO2 emissions by promoting the recycling of steel materials. The amount of CO2 emissions from steel production is the largest in the world, accounting for 25% of the entire manufacturing industry, and it is desirable to promote recycling to reduce emissions by a quarter. However, there is a major hindrance to the promotion of recycling due to the degradation of the functions of steel materials caused by impurities. We will contribute to the achievement of the SDGs on a global scale by realizing highly efficient and accurate control of impurity contamination through an automatic analysis system for steel scrap.

https://eversteel.co.jp/ External site: a new window will open.

  • Impurity detection system
  • Scrap classification system
Automatic steel scrap analysis system
We provide an automatic analysis system for steel scrap using image recognition. At steel manufacturers, in order to control impurities in steel scrap, on-site workers visually classify steel scrap (segregation control by grade) and detect foreign objects (detection and removal of objects that contain large amounts of impurities such as copper, such as motors and switchboards). However, there are limits to the accuracy of this process. This system automatically analyzes the photographed scrap and displays the percentage of steel scrap present in each grade and the location of impurities with high accuracy and efficiency.
Awards and Acceleration Program Track Record
2020 Joined acceleration program “Mitou Advanced” run by IPA.
2021 Joined acceleration program “IPC 1st round” run by Innovation Platform for The University of Tokyo.
2021 Joined acceleration program at FoundX, The University of Tokyo's startup support organization.
Environmental Initiatives
By developing an automatic analysis system for steel scrap, we are promoting the recycling of steel materials and working to solve environmental problems. By recycling steel, CO2 emissions can be reduced by a quarter, but impurities that inevitably get mixed in are a major hindrance to the promotion of recycling. We use image recognition to automatically analyze steel scrap to prevent impurities from being mixed in, thereby promoting the recycling of steel materials and eventually aiming for 100% recycling of steel.