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After bumping into a person for the 3rd time who was pushing around a weird looking vehicle at the Hanover Fair this year, I had to stop him and ask what his machine does. The vehicle reminded me of a shrunken, compact Google Street View Car. In a way it is. The person was Florian Endres, business developer at NavVis, he explained. NavVis is a spin-off of the Technical University Munich, founded in 2013 after years of research with international top tier researchers and in collaboration with renowned business institutions (Stanford, Harvard, Microsoft, LSE).
The NavVis M3 Mapping Trolley can capture buildings, productions sites, halls, and other objects in an accurate, photorealistic 3D environment. It is equipped with laser scanners that simultaneously scan indoor environments with a range of 30 meters. Additional sensors record Wi-Fi, Bluetooth and magnetic fields. The scanners, sensors and high resolution cameras automatically create 3D maps and continuous panoramic images. Via a touch panel, trolley user has a live preview that supports efficient mapping at almost walking speed.
NavVis “IndoorViewer” is a browser-based software that allows the user to walk digitally through recorded spaces and view high-resolution panoramic images. NavVis’ technology is based on HTML5, making the 3D data cross-platform available on nearly every device.
An additional benefit is the seamless integration with common software systems through open standards and APIs. Indoor environments are represented three dimensionally with a resolution of up to 5mm, creating the basis for further applications. The software enables users to enrich the digital twin of their objects by adding information like points of interest and measuring distances directly in the browser.
With the “Navigation App” NavVis offers a technology for precise indoor navigation. Like humans, it uses image recognition for localization. This eliminates the need for additional hardware like beacons or Wi-Fi routers. The patented computer vision and machine learning algorithms allow a user to find her position indoors using only the camera of a smartphone or tablet.
According to NavVis, the current version of the trolley allows the capturing of objects and buildings in a fraction of the time and costs of traditional systems. Up to 50,000m² per day can be captured, reducing mapping costs significantly.
3D point cloud formats include LAS, PLY and other CAD standards, so the import into common CAD-systems is easy to handle. NavVis is also working to make the data available as vector graphics.
NavVis‘s technology already is in use in a broad number of industries, ranging from retail to automotive and other industrial customers, but also in museums and art galleries. ARC will follow the progress of NavVis and is curious about further industrial use cases.
The NavVis M3 Mapping Trolley can capture buildings, productions sites, halls, and other objects in an accurate, photorealistic 3D environment. It is equipped with laser scanners that simultaneously scan indoor environments with a range of 30 meters. Additional sensors record Wi-Fi, Bluetooth and magnetic fields. The scanners, sensors and high resolution cameras automatically create 3D maps and continuous panoramic images. Via a touch panel, trolley user has a live preview that supports efficient mapping at almost walking speed.
NavVis “IndoorViewer” is a browser-based software that allows the user to walk digitally through recorded spaces and view high-resolution panoramic images. NavVis’ technology is based on HTML5, making the 3D data cross-platform available on nearly every device.
An additional benefit is the seamless integration with common software systems through open standards and APIs. Indoor environments are represented three dimensionally with a resolution of up to 5mm, creating the basis for further applications. The software enables users to enrich the digital twin of their objects by adding information like points of interest and measuring distances directly in the browser.
With the “Navigation App” NavVis offers a technology for precise indoor navigation. Like humans, it uses image recognition for localization. This eliminates the need for additional hardware like beacons or Wi-Fi routers. The patented computer vision and machine learning algorithms allow a user to find her position indoors using only the camera of a smartphone or tablet.
According to NavVis, the current version of the trolley allows the capturing of objects and buildings in a fraction of the time and costs of traditional systems. Up to 50,000m² per day can be captured, reducing mapping costs significantly.
3D point cloud formats include LAS, PLY and other CAD standards, so the import into common CAD-systems is easy to handle. NavVis is also working to make the data available as vector graphics.
NavVis‘s technology already is in use in a broad number of industries, ranging from retail to automotive and other industrial customers, but also in museums and art galleries. ARC will follow the progress of NavVis and is curious about further industrial use cases.