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The Wearables are Coming – Camera Tech to Wear for Work
=
• Cheaper/ less invasive
• Non Invasive/ disruptive to daily tasks
• Fully automated
• Not restricted by legislation (apart from H&S)
• Cheaper alternative to Drone technology
• Easier access….
“Can reach the
parts that other
Drones cannot
reach “
MOBILE DEVICES ContextCapture
On-Premise
ProjectWise
ContextShare
Cloud
Cloud
WEARABLES
DRONES
Context Capture
Automatic generation high-resolution 3D Reality Models from laser scanner
and photos taken with:
- a digital camera
- a smartphone
- mounted on a drone
- or on an aircraft with a dedicated multi-directional acquisition system.
Brief
To integrate reality capture technology with a routine activity (i.e. Site
Inspection) on site, in order to create a “self-regulating” data capture
process.
And apply reality modelling to anything from site safety, inspection to
visualisation, training, etc.
First Tests
Test 1
2 cameras:
One on the helmet, another on the chest
Test 2
2 cameras:
Both on the helmet
Test 3
Real World Conditions – BAM Site
• 4716 photos
• 15 minutes
Test 3
Video vs Photo:
Video – Test 1 Video – Test 2 Photo – Test 3
2 Cameras: Front and Back
Frames sliced to ¼ sec Frames sliced to ¼ sec Picture every 2 sec
2.7 K video, 60 fps 1080p, 120 fps 10 MPix Resolution
Test 1 – 2.7 K Video – 60 fps
Test 2 – 1080 p Video – 120 fps
Test 3 – Photo Data
Further investigations
Crane Project
Project
• Off-the-Shelf GoPro Omni Rig
• Mounted on A crane Hook In Real Construction site
• Data Processing with ContextCapture
Project problem
• Crane disassembly in narrow street is a complicated process…
Project Problem
One needs to make sure massive parts fit through narrow streets when
assembled and disassembled…
Project Problem
• All planning is done through 2D pdf’s and images…
Go Pro Omni Crane Mount Test
Context Capture
Et voilà
Findings
• Bespoke camera system could be created
• GPS/IMU Needed
• Automatic data transfer and processing straight from the camera
• Adjustable camera orientations would be good to have
Partners
Research @ Centre for Systems Engineering and Innovation, Imperial
College London
The current research proposes an integrated cloud-based framework to
enable efficient construction progress monitoring by creating an
automated real-time bidirectional flow of information between the
construction site and planning office.
The research is done at Centre for Systems Engineering and Innovation
and is funded through Skempton scholarship and co sponsored by
Bentley Systems.
Proposed Framework
http://www.scottishconstructio
nnow.com/18894/consortium-
visualises-augmented-reality-
future-for-construction-
industry/
Early Output on AR visualization
(A) (B)
Panel Session
Thankyou
Please contact If you are:
• interested in Joining this project or
the Drone 11 project
• able to offer up some sites that we
may attend to run trials.. then
please get in touch…
• wanting to propose a project

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Notas del editor

  1. Bentley, COMIT, BAM, Imperial college London,, FHOSS, With the introduction of photogrammetry to the construction industry, the ability to capture what is happening on site on a regular basis has become an affordable and unhindered way to tackle issues such as: As built recording, health and safety issues, materials, etc Until now this has been done through single point of use or tasked people or drones. This project aims to discover and promote the use of photogrammetry capture with every day PPE on site. With no additional interaction required by the user, they will be free to carry out their day to day activities leaving the technology to capture a High Definition 3D mesh model of the site. Objective The aim of this project is to define and have manufactured PPE that can be used on site without special risk assessments and will be readily acceptable to all site conditions. This PPE will capture sufficient photogrammetry to deliver value to construction activities and resolve some of the issues stated in the introduction. This project into 4 phases. 1. Research into and acquisition of hardware to test the best combination, placement and capture sequence. 2. Hardware and software testing, mounting options, PPE research and creation of prototype 3. Prototype deployment onto site/ sites 4. Write up, publishing and promotion of the results case study / solution
  2. Until now this has been done through single point of use tasking people or drones. This project aims to discover and promote the use of photogrammetry capture with every day PPE on site. With no additional interaction required by the user, they will be free to carry out their day to day activities leaving the technology to capture a High Definition 3D mesh model of the site. Objective The aim of this project is to define and have manufactured PPE that can be used on site without special risk assessments and will be readily acceptable to all site conditions. This PPE will capture sufficient photogrammetry to deliver value to construction activities and resolve some of the issues stated in the introduction. This project into 4 phases. 1. Research into and acquisition of hardware to test the best combination, placement and capture sequence. 2. Hardware and software testing, mounting options, PPE research and creation of prototype 3. Prototype deployment onto site/ sites 4. Write up, publishing and promotion of the results case study / solution
  3. Until now this has been done through single point of use tasking people or drones. This project aims to discover and promote the use of photogrammetry capture with every day PPE on site. With no additional interaction required by the user, they will be free to carry out their day to day activities leaving the technology to capture a High Definition 3D mesh model of the site. Objective The aim of this project is to define and have manufactured PPE that can be used on site without special risk assessments and will be readily acceptable to all site conditions. This PPE will capture sufficient photogrammetry to deliver value to construction activities and resolve some of the issues stated in the introduction. This project into 4 phases. 1. Research into and acquisition of hardware to test the best combination, placement and capture sequence. 2. Hardware and software testing, mounting options, PPE research and creation of prototype 3. Prototype deployment onto site/ sites 4. Write up, publishing and promotion of the results case study / solution