DESIGN IDEAS
AUGMENTED REALITY BRINGS HIDDEN ASSETS TO THE SURFACE
Improvements in augmented reality provide engineers with a visualisation tool for hidden infrastructure
The development of augmented reality as a tool to manage and visualise hidden infrastructure has taken a step forward. Geospatial specialists, MGISS and vGIS, are converting traditional GIS (geographic information system), BIM (building information modelling) and CAD (computer aided design) data into augmented reality visualisations. The new technology provides an
interactive representation of an environment where objects under investigation, such as underground pipes, can be displayed and enhanced with additional information such as maintenance records. The need for improved spatial data
quality in the utility, infrastructure and environment sectors led to MGISS developing the capability to communicate complex, asset dense, 3D environments in an easy to consume way. This is achieved by combining survey grade positions and associated data with consumer grade hardware to give users access to augmented reality visualisations from any suitable smart device. Using the system, field personnel can see
an augmented view that includes holographic infrastructure objects, improving environmental assessments and increasing situational awareness. According to Mike Darracott of MGISS,
initiatives such as digital twinning and the expectation of continued normal operations require the capture and representation of increasingly complex real world
❱❱ Augmented reality system
brings utility data to the surface
with engineers able to obtain
images of hidden
infrastructure on their portable devices
environments. “Asset owners and operators face the need to improve safety, reduce risk and ensure what lies beneath our feet meets future infrastructure needs,” he says. According to Alec Pestov of vGIS, by
helping people visualise data in more intuitive ways, they gain new insights and can subsequently do more with that information.
DEEP LEARNING ALGORITHM SPOTS THREATS Self-learning scanner can spot the difference between a threat and a standard car
UVeye launches deep learning-powered vehicle undercarriage threat detection solution: UV Inspect An Ultraviolet threat detection system has
been developed to instantly detect threats such as bombs, weapons, and drugs stowed in the undercarriage of vehicles using deep learning computer vision technology. Developed by UVeye, UV Inspect employs
an algorithm which analyses each vehicle part separately to identify every element on the undercarriage of the vehicle and detect threats within seconds. This advancement in detection capabilities is built on training the algorithms to truly
understand what each part of a vehicle is supposed to look like, independent of make or model or the need for previous examples on record. Examples of the depth of this research become evident in the UV Inspect technology’s ability to identify items like an exhaust pipe without having previously scanned the vehicle. According to Amir Hever of UVeye, as a
❱❱ A first pass scan is all that’s needed to detect threats beneath the chassis of a vehicle
first pass detection system, UV Inspect addresses the needs of border control operators and other security professionals, who need to examine non-repeat traffic to securely scan vehicles passing through their checkpoints.
February 2020 /// Testing & Test Houses /// 7
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