オービタルネット Product Lineup

■Product Group ・Web-based Fixed Asset Management Support System

• Other contract services
• Other information systems
• Data Search Software

This is an object counting system that combines deep learning object detection technology and object tracking algorithms. It tracks vehicles from footage captured by a fixed camera and counts the number of cars that pass through a specific section. The types of vehicles to be classified need to be learned as necessary.

• Image analysis software
• Surveillance Camera System
• Recorders

This is an object counting system that combines deep learning object detection technology with object tracking algorithms. It tracks walking individuals from footage captured by a fixed camera and counts the number of people who pass through a specific section. Unlike traffic vehicles, where predicting movement is relatively easy, human movement is complex, and long-term tracking is extremely challenging. Particularly at crosswalks, where people moving in different directions intersect, technology that focuses on specific areas to detect and count pedestrians is required.

• Image Processing Software
• Surveillance Camera System
• Entrance and exit control system

Real-Time Geo Tracer is a feature detection and geo-coding tool that utilizes the instance segmentation technology "Mask_R-CNN." It extracts specific features from a large volume of aerial photographs and records them as geospatial data. In addition to feature extraction, it traces the boundaries of features to create polygons, allowing for more accurate understanding of feature characteristics such as area calculation. * Mask_R-CNN is a technology that performs class classification and segmentation for each detected object individually.

• Image Processing Software
• Contract Analysis
• Analytical Equipment and Devices

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.

• Image analysis software
• Contract Analysis
• Contract measurement