AI will detect any identifiable features from aerial photographs.
Real-Time Geo Detector is an aerial photo interpretation system that applies deep learning real-time object recognition technology to simultaneously identify candidate object areas and classifications from videos and images. It is implemented using the CNN object detection algorithm YOLOv3 and the open-source deep learning framework Darknet. Although this technology is originally intended for real-time object detection from videos, it leverages the characteristics of real-time object detection algorithms to perform immediate land feature detection from large volumes of aerial photographs instead of videos. By operating on a GPU-equipped PC, it can detect land features from wide-area aerial photographs at ultra-high speed and register their coordinate information in a spatial database.
Inquire About This Product
basic information
■Examples of detectable features from aerial photographs - Ground-mounted mega solar panels - Solar panels installed on buildings - Intersections - Automobiles - Vinyl houses, glass greenhouses , etc. For other features, please consult us. ■Aerial photograph analysis services available - Geospatial maps - GEOSPACE CDS - Other aerial photographs stored on various disks ■Output formats available SHAPE GeoJSON CSV Others
Price range
Delivery Time
※The delivery date may vary depending on the scope of the project, so please feel free to contact us.
Applications/Examples of results
■Examples of features detectable from aerial photographs - Ground-mounted mega solar panels - Solar panels installed on buildings - Intersections - Automobiles - Vinyl houses, glass greenhouses , etc. For other features, please consult us.
catalog（1）
Download All Catalogs
Company information
Orbital Net develops IT services in the fields of mapping, surveying, and construction consulting. By selecting, combining, and customizing a range of open-source software known as FOSS4G for geospatial applications as needed, we can provide optimal systems. Furthermore, by integrating these technologies with AI, we aim not only to improve and automate operations but also to achieve things that were previously impossible, ultimately continuing to create new value that has never existed before.
