New AI Tech to Enhance Digital Model of Australia

Geoscape has partnered with GeoX to use machine vision and deep learning technology to enhance its 3D digital maps of Australia. Geoscape CEO, Dean Capobianco, said the partnership with this award-winning artificial intelligence company will advance what is known about what’s at every address across the country.

“By applying GeoX’s patented AI technology to the highest-quality aerial imagery, we’ll significantly evolve our digital model of Australia,” Capobianco said.

澳大利亚城市环境的准确数字模型为数字双胞胎应用程序提供了基础数据，以更好地反映现实世界。最新的构建环境数据还改善了保险公司风险的评估，使建筑师能够在周围环境的背景下可视化新的发展，帮助噪声模板更好地了解噪音会影响什么，并在能源使用模式的模型中进行模型商业和住宅建筑。

Impressive data visualization

“Advanced information about the built environment, on a national scale can drive efficiency, cost reduction, insight and revenue generation across many sectors of the economy, including insurance, property development, energy and telecommunications,” Capobianco said. “Plus the visualisations of the data are just plain impressive.”

Co-founder and CEO of GeoX, Izik Lavy, said Geoscape’s creation of the digital Australia is one of the most extensive and advanced projects in the world in terms of in-depth mapping of a country’s buildings. “Our machine vision and deep learning technology opens a new generation of accuracy and richness of built environment data, providing a leap forward for Geoscape compared to the technologies used so far,” Lavy said.

“By leveraging our tech and Geoscape’s continuous data processing capability, every organization in Australia could access reliable and advanced property data.”

航空测光率的航空影像

Geoscape has mapped all buildings and land cover across Australia using satellite imagery. It now also accesses high-resolution aerial imagery from Aerometrex’s image library.

“我们将使用Geox的AI Tech重新映射超过1000万个建筑物，其中包括澳大利亚的大多数城市建筑。Capobianco说：“我们还将重新捕获并增强全国所有剩余的建筑物。”

Enhancements to Geoscape’s digital Australia, enabled by the partnership with GeoX, consist of annual updates of 3D data for urban areas, higher definition of complex building outlines, better spatial alignment of urban environment features with legal land parcel boundaries and improved positional accuracy of features represented in the data. Moreover, it also encompasses greater accuracy of building heights and more complete solar panel and swimming pool data.