Tag Archives: 3D

[BEIT NEWS] 12 Oct 2018 – eNightLog for elderly, digital construction and cyber security at healthcare

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PolyU develops eNightLog System for caring Elderly with Dementia

The non-contact and non-invasive eNightLog system is embedded with event sequence tracking and different kinds of remote sensing and imaging technologies, based on innovative algorithm developed by the BME team of PolyU. This innovative technique has already been patented.

Seventeen systems have been installed and tested in a nursing home for 2 months this year for nighttime monitoring. During this period, 380 incidences of elderly leaving bed alone were recorded, with all them being successfully detected (100%), and only 2 times of false alarm occurred (0.5%). In addition, the system recorded 525 events of caregivers visiting elderly and accompanying the elderly leaving, and accuracy rate is 100%. 

Keywords: eNightLogProf. ZHENG Yongping; The Hong Kong Polytechnic University; dementia; Alzheimer’s disease

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Picture: eNightLog – the research team led by Ir Prof. ZHENG Yongping in the Hong Kong Polytechnic University.


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Imerso offers intelligent technology through 3D capture and BIM

 

Working on Imerso is simple as Users start by loading the software with all the data from the planning stage, which includes BIM, geometry, schedules as well as tolerance parameters and then these data are used as monitoring targets. When, site works continues, users upload 3D data on field. The next step perform by Imerso is to register that 3D data directly to the 3D building information model and displays the result, through this it is easy for the users to compare the current on-site conditions against the original design intent.

Keywords: Imerso; 3D; Building Information Modelling (BIM); digital construction; Frederico VALENTE

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Picture: Imerso’s digital platform for construction.


 

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… by leveraging machine learning, organizations can largely diminish the security concerns that come with Internet of Things (IoT). Machine learning enables data exchanges to be monitored within the organization, and with external parties to detect anomalies that are not considered the norm. Machine learning can also aid in predicting threats, in its ability to analyze historical data from specific trends, which can be evaluated from the big data produced by the algorithms.

Keywords: Healthcare; Internet of Things (IoT); cyber security; machine learning; behavior analytics 

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Source: https://www.sensorsmag.com/iot-wireless/how-to-combat-security-risks-healthcare-iot-security

How are 4D cities developed?

4D city models enable detection of changes in built environment over time

The research team led by Prof. Xiaoxiang ZHU in the Technical University of Munich (TUM) retrieved data from the German TerraSAR-X satellite, the most high-resolution civilian radar satellite in the world, to develop algorithms and models of 4-dimensional (4D) cities. They used point cloud technology to make 4D point clouds of Berlin, Las Vegas, Paris and Washington, D.C. These models of cities eventually can help monitor the built environment and deliver timely signals of potential dangers in infrastructures and buildings, e.g. subterranean subsidence.

 

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Picture (above): Las Vegas in 3D. (Image: TUM & DLR).

 

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Picture (above): A 3d-image of Paris. (Image: TUM & DLR).

 

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Picture (above): Using the new satellite tomography, researchers can map Washington, D.C. in 3D. (Image: TUM & DLR).

 

The highly precise 4D city models (3D plus the time parameter) can make changes of approximately 1mm per year become visualized.

In TUM, the research team made use of the satellite which flies over the region of interest every 11 days.  By applying the same principle as used by computer tomography for producing three-dimensional view of the inside of human body, a variety of radar images taken from different perspectives are combined to create a three-dimensional image.

Experience the Tomographic City Tour of Berlin from Space.

As for the 4th dimension, time, it came with the realization that cities are never static. They are living organisms. Not only because constructions are always in progress, built structures are in motion from time to time, caused by the underground conditions, wind effects and other factors.

Point cloud technology

A point cloud is a set of data points in space. Point clouds are produced by measuring a large number of points on the external surfaces of objects with 3D scanners.  They are used for creating 3D models which deliver precise models of reality at reasonable costs. The high-performance processing ability allows the entire environment and individual components, including all built assets, to be captured accurately. The 4D point clouds that combine 3D point clouds capture at different points in time enables a unique spatio-temporal model to be set up.