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  6. Detecting changes in the landscape from an onboard camera.

Detecting changes in the landscape from an onboard camera.

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last updated:Jun 04, 2026

信州TLO
信州TLO
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The imaging images distributed in space-time can be effectively utilized! There is novelty and superiority in extracting the characteristics of the landscape.

We will introduce a technology developed at Saitama University for accurately detecting spatiotemporal phenomena arising from local climate and environmental factors. By acquiring multiple imaging data sets that include coordinate and timestamp data, we calculate the probability that specific features predetermined within the imaging data are present, using a deep learning model. In the real world, we compute the average probability calculated daily within a set grid and detect or estimate changes in phenomena from the resulting time series data. 【Features】 - It is possible to understand landscapes from imaging data with location information, such as from onboard cameras. - This technology enables the understanding of regional environments and landscapes that cannot be captured by satellite observations or drones. - It is expected to be useful for detecting disaster damage, land abandonment, deforestation, land cover changes, landscape changes, and thermal environment changes such as heat islands. *For more details, please download the PDF or feel free to contact us.

    Measurement and Inspection
車載カメラからランドスケープの変化を検出1.JPG

Detecting changes in the landscape from an onboard camera.

車載カメラからランドスケープの変化を検出1.JPG
車載カメラからランドスケープの変化を検出1.JPG
  • Related Link - https://shinshu-tlo.co.jp/technology/k001-0030/

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basic information

【Challenges Towards Practical Implementation】 ■ Continuous collection of image data with location information from in-vehicle cameras and other sources ■ Establishment of an efficient image collection and model application system ■ Setting of target issues *For more details, please download the PDF or feel free to contact us.

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【Usage Examples】 ■ Collection of biological seasonal information related to biological seasonal observation ■ Disaster detection due to rainfall, flooding, and fires ■ Understanding disaster damage caused by the collapse of houses and structures ■ Land cover changes due to abandonment of cultivation, deforestation, and land development ■ Landscape changes ■ Detection of changes in thermal environments such as heat islands *For more details, please download the PDF or feel free to contact us.

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信州TLO

信州TLO

Educational and Research Institutions

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Since our establishment, we have been supporting the commercialization of various companies. We have extensive experience and achievements in commercializing technologies developed at universities and launching new businesses utilizing subsidies. We will introduce researchers and technology seeds suitable for your company's product/technology development/research. Please feel free to contact us.

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