By accumulating data, it becomes possible to utilize it as analysis material for construction and work implementation status.
"AI-JUCQR" is an AI automatic image judgment system that evaluates on-site construction and work results based on your company's unified standards, allowing for immediate sharing and accumulation. On-site workers can simply take photos of the construction and work results using a tablet based on the provided samples. The AI, trained on your company's acceptance criteria, instantly determines the quality and notifies the results to the tablet, as well as to construction managers if the results are deemed inappropriate. This not only helps prevent rework but also enables the standardization of construction and work results within your company, contributing to quality stability. [Features] - AI training and judgment using generic image data tailored to individual companies is possible. - The AUC value of the ROC curve is high compared to typical AIs, allowing for accurate judgments. - Immediate quality assessment based on unified standards is possible at all customer sites. - After AI training, it is possible to set or change the criteria for quality judgment. *Case studies have been uploaded. https://www.gearnouve.com/case/case-142/ *For more details, please download the PDF or feel free to contact us.
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Our company provides a system that allows for the real-time sharing and accumulation of various "current situations on-site" between management and the field, contributing not only to the efficiency of operations but also to the qualitative improvement of quality control, safety management, foundational data for cost estimation, and technical succession. We are developing new IT services aimed at businesses that require extensive management of images, such as digital image management systems, construction process and cost management systems, and tools that quantify the skills of workers. Please feel free to contact us if you have any requests.
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