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BOGONET, Inc. a specialized company providing artificial intelligence-based deep learning service platforms
Steel-scrap classification and grading system
ANSWER Steel-Scrap
BOGONET Inc.'s proprietary product, “ANSWER Steel-Scrap,” utilizes AI-powered video analysis technology to enhance the objectivity and efficiency of steel scrap grading and ratio determination, contributing to the advancement of the steel industry.
Key proprietary technologies include steel scrap annotation data creation, AI video model development, and AI solution and system implementation.
The ANSWER Steel-Scrap grading and classification system is applied in three main categories.
Environmental problem-solving
The steel industry, which is the largest emitter of CO₂, can significantly reduce carbon dioxide emissions, energy consumption, and crude steel production by up to 60% by increasing the usage ratio of steel scrap through BOGONET’s ANSWER Steel-Scrap system.
Quality problem-solving
By using steel scrap in steel production, the impurity content within the scrap (including permanently impure elements in steel products) can be reduced. Additionally, foreign object and hazardous material detection enhances quality and prevents accidents.
Industrial problem-solving
For electric arc furnace (EAF) companies, the primary consumers of steel scrap, the ANSWER Steel-Scrap system addresses challenges in scrap grading, quality evaluation, and selection.
It detects impurities (non-steel scrap contaminants) and helps prevent human errors, workforce shortages, and safety accidents caused by the inclusion of hazardous materials.
Policy direction proposal
By expanding the metal resource circular supply chain, we promote steel scrap as a recognized "circular resource" that enables the continuous recycling of materials. This initiative ensures stable supply and systematic management in terms of economic and environmental sustainability while advancing related technologies.
We are shaping a new journey in the steel industry with AI video analysis technology.
Technology that transforms scrap metal into a resource for carbon neutrality and a sustainable future.
ANSWER Steel-Scrap System Diagram
It improves quality and efficiency by addressing issues related to recipe compliance, residual material costs, and material application costs.
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Material information management functionality
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Standardization of product quality
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Optimization of production costs
PART 2.
Electric arc furnace (EAF) charging
It helps improve quality consistently without variations due to inspectors' experience levels or subjective judgments.
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Objective data acquisition
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Tracking of material distribution routes
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Ensuring worker safety
PART 1.
Vehicle inspection
ANSWER Steel-Scrap
Process
Step 1 >
Existing subjective judgment
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Irregular quality
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Judgment based on worker experience
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Material tracking by inspected vehicle
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Decline in quality and efficiency
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Non-compliance with recipes
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Uncertain residual material costs
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Material application costs
Step 2 >
System implementation
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Grade classification based on steelmaker requirements
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Construction of charging composition dataset
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Data and quality analysis
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Automated report UI provision
Step 3
Implementation results
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Objective data acquisition
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Tracking of material flow paths
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Ensuring worker safety
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Separate detection of hazardous and foreign materials
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Accurate input volume calculation
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Process optimization
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Material information management
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Standardization of product quality
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Optimization of production costs
Providing an intuitive UI
By applying the vehicle inspection and EAF charging system, we provide customized solutions for each customer through an integrated UI.
