Página inicial / Projetos / Surveying and monitoring / Detecção de fissuras em pavimentos orientada por IA/Aprendizado de máquina

Project

Organization and Company name

Benesch

Detecção de fissuras em pavimentos orientada por IA/Aprendizado de máquina

Crédito da imagem: Benesch

Project

Organization and Company name

Benesch

Detecção de fissuras em pavimentos orientada por IA/Aprendizado de máquina

Crédito da imagem: Benesch
Categorias de prêmios

Surveying and monitoring

Location

Multiple, Estados Unidos

Bentley software used

AssetWise, iTwin, iTwin Capture, MicroStation

Resumo do Projeto

Most public agency assets include pavement and, therefore, require crack detection survey and maintenance. Given that traditional pavement assessment practices and technology are time-consuming and inaccurate, Benesch explored integrating artificial intelligence (AI) and machine learning (ML) into their field data collection workflows, targeting crack detection in pavement. However, they faced challenges closing the gap between digitally identifying cracks and classifying the cracks based on condition assessment. Therefore, they sought to develop their pavement crack detection technology solution.They selected Bentley’s iTwin Capture Modeler, AssetWise, and iTwin to pilot their digital innovation at three active project sites in the United States, creating digital twins of the sites. Bentley technology harnessed the power of AI and ML, streamlining the crack detection process and feeding the data into the digital twin for analysis. The solution automates digitization of the crack linework data and saves 75% in field time, and is expected to save USD 144,000 in 100 airport inspections without impacting traffic and/or airport operations.

20% de desconto em software da Bentley

A oferta termina na sexta-feira

Use o código de cupom "THANKS24"

Comemore a excelência na gestão e no desempenho da infraestrutura

Year in Infrastructure e Going Digital Awards 2024

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