Steelmaking is an inherently energy-intensive process. Defects in steel products can lead to significant waste, higher energy consumption, and increased greenhouse gas emissions, all of which impact the environmental and economic efficiency of the manufacturing process. One of the leading steel manufacturers faced specific challenges in its steel production:
This steel manufacturer aimed to leverage advanced technologies to enhance the quality control of their steel products, reduce waste, and optimize energy consumption. The primary goals included:
DAIPL provided company with a comprehensive Computer Vision-based Edge Application powered by AI. The solution was designed to address the specific needs of company’s manufacturing operations through the following components:
The Computer Vision-based defect identification solution provided measurable improvements to steel manufacturer’s production process and quality assurance efforts: