Real-Time Geo Detector
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.
- Company:オービタルネット
- Price:Other