Count pedestrian traffic using AI!
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.
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basic information
■Main usage scenarios ・Station ticket gates ・Crosswalks ・Entrances to stores and event venues
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Applications/Examples of results
Traffic volume survey ■Main usage scenarios ・Station ticket gates ・Crosswalks ・Entrances to stores and event venues
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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.