Vision King - Long Steel inspecionando aços longos em linha de produção automatizada.industry by combiningandComputer VisionAIEmpower yourSteel

Vision King – Steel Billet

Technology Description

The main objective is to identify defects and imperfections on the surface and edge of the steel, such as:

Scratches and
Cracks

Ruptures and
Mechanical Marks

Oil and
Flux Powder

Lamination
Defect

Scale and
Oxidation

Computer vision applied to the inspection of steel billets has become an essential solution to ensure quality in hot or cold billet manufacturing processes. The Vision King uses cameras and image processing algorithms to detect defects, irregularities, and specific characteristics of the steel surface that are difficult to identify with the naked eye.

Vision King inspecionando tarugos redondos de aço

Technologies and Techniques Used in Inspection

Ícone de um olho humano com linhas representando a capacidade excedente da máquina capturar informações visuais desde o espectro infra-vermelho até ultra-violeta.

Cameras and
Sensors

Ícone conceitual de dados de imagem sendo processados sob uma luz central muito forte.

Image
Processing

Ícone representando uma cabeça humana de perfil com linhas como um circuito cujo centro possui um chip escrito AI em tons de azul

Artificial
Intelligence

Ícone representando várias telas holográficas com gráficos e diagnósticos de processos enquanto um engenheiro analisa essas telas

Real-Time
Systems

Advantages

  • Safety and Real-Time Capability:

    Computer vision technology can operate in environments too hazardous for people. Even at high temperatures.

  • Precision and Consistency:

    Computer vision technology is more precise and consistent than manual inspection, reducing human errors and increasing efficiency.

  • High Speed:

    Real-time analysis allows for immediate defect detection, perfect for high-speed lines like steel billets.

  • Increased Quality:

    The system’s complete and immediate analysis of production allows for the detection of problems with machinery, dies, or even mechanized handling, preventing defect propagation throughout the batch and even anticipating equipment corrections.

  • Analysis and Reporting:

    Computer vision systems can collect data over time, allowing for the identification of trends and root causes of defects, in addition to optimizing processes.

  • Cost Reduction:

    The technology decreases the amount of scrap generated in all phases of the production process, from hot to cold. Special attention is paid to energy efficiency by preventing foreign materials from mixing with the raw materials to be melted.

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