Environmental observation technology utilizing ground-based imaging devices [Saitama University, Faculty of Engineering]

Utilize images from smartphones, live cameras, and more.

- New Proposals for Agriculture, Disaster Prevention, and Land Management - By utilizing images from smartphones, live cameras, and other devices without special photographic equipment, it is possible to obtain and infer detailed environmental information from a ground perspective that cannot be captured by satellite observations or drones. By applying deep learning models to image data with location and time information, we can classify and detect objects and understand spatial environmental changes. 【Features】 ■ Continuous image data captured on the ground (proximity sensing data) can be utilized. ■ Images from smartphones, action cameras, in-vehicle cameras, security cameras, live cameras, and images posted on social media are also available. ■ By applying deep learning models, we can grasp detailed spatial environmental changes. 【Expected Areas of Application】 - Understanding growth conditions in agriculture / Estimating flowering and harvest times - Classification of land cover and land use (LCLU: Land Cover Land Use) - Detection of disaster occurrences / Understanding damage conditions, etc.

Image Processing EquipmentImage analysis software