Image analysis technology for ruts and cracks using AI (artificial intelligence)! Introduction to pavement damage diagnosis system.
"Multi-Fine Eye" is a system that automatically diagnoses the damage levels of "cracks" and "ruts" from images of paved surfaces using artificial intelligence (AI). By utilizing onboard cameras for imaging and AI for automatic judgment, it reduces costs and time. There is no need for specialized equipment, and analysis time is shortened. It is a tool that monitors road deterioration and promotes efficient maintenance planning. 【Features】 ■ Judgment of ruts and cracks ■ Labor-saving and reduction of analysis days ■ Visualization through a viewing app *For more details, please refer to the PDF materials or feel free to contact us.
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basic information
【Overview】 1. Capture road surface using in-vehicle video → Install a video camera with GPS functionality in the vehicle and record video. 2. Determine damage level using AI → AI assesses the damage levels of ruts and cracks from the video images. 3. Output results to CSV file → Output location information and level assessment results to a CSV file to create reports. 4. Visualization through video, maps, and graphs → The assessment results are visualized on the same screen by linking video, maps, and road condition graphs. *For more details, please refer to the PDF document or feel free to contact us.
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For more details, please refer to the PDF document or feel free to contact us.
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Company information
Our company primarily engages in contracting, planning, design, supervision, and consulting services for construction projects. We became independent from Fukuda Corporation's pavement division in 1970, and since our inception, we have been involved in the construction of expressways, including the Meishin and Tomei expressways, growing alongside the development of Japan's expressway network. We have developed into a specialized road contractor with advanced technologies. We will continue to contribute to the development of local communities through road construction.