These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to show how augmented reality is becoming economically feasible for manufacturing and maintenance applications. Augmented reality adds useful information to a real-world image that is seen through head-mounted glasses or a tablet computer’s camera. Academic tests reveal that manufacturing and maintenance activities can be done more effectively when workers use augmented reality and many firms have begun using augmented reality.
Furthermore, continued improvements in display resolution and graphic processing speeds and the emergence of transparent displays will expand the use of AR. In particular, it takes several seconds for current devices to update the images that are overlaid on the real-world image, which confuses workers and slows them down. Improvements in graphic processors for tablet computers are reducing the time it takes for tablet computers to recognize and register objects and thus make the overlaid images look clear in the tablet’s display. While graphic processors in game consoles and desktop computers can easily handle this problem, graphic processors in mobile devices lag their game console and desktop computer counterparts by several years.
Augmented reality applications in manufacturing and maintenance
1. Augmented Reality:
Applications in Manufacturing and
Maintenance
SUN Jing (A0120104J)
Aela GOURLAOUEN (A0146994L)
QIU Zhi (A0077961R)
Francois LEROY (A0148144H)
Rostislav DOGANOV (A0107966U)
Thomas Joseph Traviño SEVILLA (A0079294N)
2. Outline
• Introduction
• AR in Manufacturing
• AR in Product Design
• Production Planning and Spatial Organization
• AR in Assembly
• AR in Maintenance
• Improvements in Maintenance
• First steps and applications in AR for maintenance
• Future trends in AR application in Manufacturing and Maintenance
• Technological Challenges and Developments
• Algorithms and Processing
• Transparent displays
• Novel content development
• Conclusion: Drivers, Bottlenecks and Opportunities
2
3. Introduction
What is Augmented Reality (AR) ?
“The basic goal of an AR system is to enhance the user’s perception of and interaction with the real world
through supplementing the real world with 3D virtual objects that appear to coexist in the same space as
the real world.” [1]
Augmented Reality vs Virtual Reality
[1] R. Azuma, “Recent Advances in Augmented Reality”, Computers and Graphics, November 2001 3
4. Realizations of AR
Smart glasses for training
and hands-free work
iPhone/iPad-based
applications providing live
data
Head-mounted displays Handheld displays Spatial displays
Project virtual items in the
environment to plan a
plant’ layout, to design,...
4
6. Evolution of Manufacturing
• Limitation of current computer-aided system:
– Not easy to fully and accurately model the actual working environment
6
7. Evolution of Manufacturing
• The advantages of AR now and in the future:
– provide a natural approach for modelling the actual working environment instead of modelling the real world
– enhances an existing environment rather than replacing it
– Reduce cost and avoid time-consuming
7
8. AR applications in Manufacturing
8
Product Design &
Prototyping
Production
Planning & Spatial
Organization
Training &
Assembly
• AR can be applied to all parts of the value chain:
9. Product Design and Prototyping
• Developed by Volkswagen, 2013.
• Virtual technologies
– reduce time & costs
– Problem: data is scaled down in size
and not an accurate reflection; data
skewed
• Spatial AR
– Ensure the data is visualized with
actual proportions and size
– Assess data more effectively by the
designer
– Shows virtual data on a real model
http://www.volkswagenag.com/content/vwcorp/content/en/innovation/Virtual_technologies/
Use_of_spatial_augmented_reality_in_the_automotive_industry.html 9 9
10. Product Design and Prototyping
• Advantage:
– Analyze the virtual data straight away in reality in a familiar environment
MARTA spatial AR system developed by Volkswagen
http://www.volkswagenag.com/content/vwcorp/content/en/innovation/Virtual_technologies/Use_of_spatial_augmented_reality_in_the_automotive_industry.html
Projector
Life-sized
Dashboard
Platform
Panel
Final design
10
11. Production Planning
and Spatial Organization
• Previous Issues
Manual assembly design and planning is a complex and time-consuming process as besides
technical and economic factors, human factors have to be considered
• With spatial AR
• a physically existing production environment can be superimposed with virtual planning objects
and planning tasks can thus be validated without modelling the surrounding
• highly immersive and intuitive environment to evaluate the virtual prototypes of new product
designs or the assembly sequence
• reduce re-designing and re-planning activities
Source: http://www.intechopen.com/books/augmented-reality/using-augmented-reality-to-cognitively-facilitate-product-assembly-process 11
12. AR In Training and Assembly
• Previous issues:
• Time spent in forming the workers
• Possibility of making errors
12
• With AR:
- Reduce formation time and cost as direct
information can be provided on the field
- Real-time data reduces errors
- Devices like smart glasses enable hands-free
work
Example: Augmented reality helmet developed by Miller, 2013.
“Time spent per aircraft (...) is divided by six with an error rate reduced to zero” in cabins
assembly at Airbus
Jets assembly goes “30% faster” during trials at Lockheed Martin’s using smart glasses
13. Training and Assembly - Welding
Applied by Miller, 2013
• Old Mask
– Keep flip up and down, really time consuming
• Current Mask:
– Automatically dim a panel in front of the user’s
eyes with sensors
– Do not work well caused by low contrast ratio
of human eye
• AR Mask
– Identify welding apparatus, the weld point,
and the molten metal
– Assist-display help the welder keep the joint in
view using temperatures and best-fit scenarios
to make sure that it welds properly
Old Masks
Modern Marks
Welding mask with AR
Source: http://www.roadtovr.com/augmented-reality-welding-mask/
Visualization of the Welder
13
14. Training and Assembly - “Duplo Blocks” Case Study
14Tang, A., et al. Performance Evaluation of Augmented Reality for Directed Assembly. Virtual and Augmented Reality Applications in Manufacturing, ed. by Ong and Nee. 2004.
Subjects were asked to complete an assembly task of arranging 56 Duplo blocks
using:
1. Printed manual
2. Computer assisted instruction (CAI) on an LCD monitor
3. CAI on head mounted device
4. Spatially registered AR on head mounted device
15. Training and Assembly - “Duplo Blocks” Case Study
15Tang, A., et al. Performance Evaluation of Augmented Reality for Directed Assembly. Virtual and Augmented Reality Applications in Manufacturing, ed. by Ong and Nee. 2004.
Use of AR decreases task completion time and reduces errors.
Figure 16.6 illustrates the mean time of the completion for the assembly task. The graph indicates that treatment 4 had the shortest time of
completion and treatment 1 had the longest time of completion.
Figure 16.7 indicates the average number of errors for the task. The descriptive statistics reveal that treatment 4 has significantly lower error rates in
all categories. They also indicated that the majority of errors in treatment 4 are independent errors, whereas treats 1,2 and 3 exhibition a majority
proportion of dependent errors.
16. Training and Assembly - “Duplo Blocks” Case Study
Use of AR reduces the mental load on the worker
• The NASA Task Load Index (TLX) for each task performed was measured for both AR
and non-AR set-ups.
16Tang, A., et al. Performance Evaluation of Augmented Reality for Directed Assembly. Virtual and Augmented Reality Applications in Manufacturing, ed. by Ong and Nee. 2004.
The table 16.1 indicates the mean rating of the NASA TLX. The statistics show that subjects in
treatment 1 have the highest mental workload, whereas subjects in treatment 4 have the lowest
mental workload.
18. Types of Maintenance Activities
● Preventive (Planned)
○ Routine tasks, sequential steps
● Corrective (Unplanned)
○ Tasks range from simple & sequential types to complex ones.
○ Require expert on-site → Costly Solution
18
19. Current Maintenance Practices
● Hundred billions are spent annually in maintenance around the world. Companies
want to achieve maximum availability at minimum cost.
● The process to fully train a maintenance staff takes a long time.
Courses (theoretical+hands-on) → On the Job Training → Fully Training
3 months + 3 months = 6 months
19
20. 1. From Paperback Manual to AR Assisted Maintenance
Primitive Form Ultimate Form
20
Currently Available
21. 2. Improvement In Efficiency and Effectiveness
1. F. LAMBERTI, F. MANURI, A. SANNA, G. PARAVATI, P. PEZZOLLA,, P.MONTUSCHI Challenges, Opportunities, and Future Trends of Emerging Techniques for Augmented Reality-Based
Maintenance IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING,Vol. 2, No. 4, DECEMBER 2014
2. A. Sanna, F. Manuri, F. Lamberti, G. Paravati, P. Pezzolla Using Handheld Devices to Support Augmented Reality-based Maintenance and Assembly Tasks IEEE International Conference on
Consumer Electronics, 2015
Assemble/ Disassemble Computer Parts
Type of Participants Parameters Paperback Manual AR with Pre-set Instruction
Experienced
Time 1 50%
Error 1 30%
Standard Deviation
Poor Knowledged
Time 1 94%
Error 1 37.5%
Standard Deviation 1 0.6
Assemble/ Disassemble Computer Parts (Poor Knowledged)
Parameters Video/Text (Tele-com) AR with Remote Audio
Time 1 83%
Error 1 1
Standard Deviation 1 0.85
21
22. 3. Financial Impact
Displaying useful information such as
Part, Status, Working Hours, etc. to
find and fix problem more effectively
and accurately.
SGD 180 Million/Night
in Saving
Maintenance Worker’s Hour Rate =
SGD 30
Engineering Hour = 4 hours/ night AR
→ saves 50% of Time = 2 hours/night
22
Teardown Cost of Google Glass at
150 SGD.
Breakeven in 5 days!
23. First steps in Augmented Reality for Maintenance And Repair
ARMAR project (2005)
Experimentation of a prototype to be used for maintenance aiding on military equipment both during training
and in the field.
Scope: How real time computer graphics overlaid with the equipment being maintained, can significantly
increase the productivity, accuracy and safety of maintenance personnel?
Use of head-mounted displays (HMDs) showing a set of virtual instructions (computer graphics overlaid on the
real view of the system to repair)
• Augment a mechanic’s natural view with text, arrows and animated sequences
• Labelling of components
• Real time diagnostic data
• Gesture tracking
• Safety warnings
• Allows off-site collaboration
Research from Steve Feiner, Professor of Computer Science at Columbia University and his team, in collaboration with US army.
23
Research from Steve Feiner, Professor of Computer Science at Columbia University and his team, in collaboration
with US army.
24. Comparison between a fixed flat panel display (LCD) and see-
through head-worn display to complete some common tasks.
Benefits for task localization and performance: ability for the mechanics to spot the components and the task, and
improve the psychomotor aspects of the assembly task
Tasks are located 47% quicker
37% less overall head movements
More intuitive
Challenges and limits:
Take into consideration the environment.
● Constraints in freedom of motion
and interferent luminosity
● Avoid interferences with others
devices (electromagnetic,
ultrasonic echoes)
24
● Both hands are always free
● Greater accuracy
● Provide dynamic, prescriptive and overlaid
instructions
25. ● Assessing airframe damage resulting from combat or environmental hazards to prolong
equipment life and maximize the aircraft’s operational availability
● Replace the cumbersome method of using a transparent film over the damaged area to
measure the distance of a hole from supporting structures or the depth of a scratch and then
cross-referencing it with a database to see the impact of the damage
● Use of a powerful 3D volumetric rendering engine: voxels (3D pixels)
■ Provide accuracy within 1/10th of an inch
■ Visualize and represent aircraft damage on a 3D model
Preventive Maintenance
Virtual Damage Assessment & Repair Tracking for F-35 and F-22 Aircraft
25
26. 26
1. Increase Operational Availability of Equipment
Reduce the maintenance time-to-flight hour ratio
2. Work More Efficiently with Fewer Personnel
Better documentation and access to historical damage and repair data for each aircraft
3. Capture Data More Accurately
3D model closer to reality, reducing the probability of maintainers making mistakes
27. Maintenance becomes accessible to everyone
● No specific knowledge or skills needed, replace the
user manual
● By simply owning an iPad and downloading the right
application, beginners or DIY lovers would be able to
repair their own car, smartphone, washing machine
by following step-by-step audio and visual instructions,
thus diminishing the costs of a professional
intervention.
https://www.youtube.com/watch?v=EUmNbNa3RYY
● In case of difficulties, an expert can remotely help solving
the problem. 27
28. Future Trends and Challenges of AR
Application in Manufacturing and
Maintenance
28
29. 29
Applications* per types of AR devices
*includes tests and implementations
Future trends in AR applications in Manufacturing and
Maintenance
➔ Head-Mounted devices will be the leading AR device:
- No problem of social acceptance in the framework
- Currently used at 64% in Assembly, 36% in Maintenance
- Being tested by pioneering company
- High expected growth in the use of mobile devices (Global Heads Up Display
Market in 2014 $1.76 billion -> $7.05 billion in 2022)
- The development of HMD will could from the research in the automotive,
aviation and military industries for drivers assistance
➔ Still a long way to go?
- Experts expect the glasses to have taken off within 2025...
- … but so far, no communication on the tests performed in the companies
HMD are at an early stage -> being tested
- Handheld devices are currently more functional, but their use is of restricted
interest
Companies testing HMDs
30. Challenges of AR Application in Manufacturing and
Maintenance
30
• Reliability
• Interactive in Real time (rapidity in processing, comparing, gathering the data)
High bandwidth, connection to the cloud, compression of data
• Ability to detect defaults in the shape, the size, the color, the temperature…
• Scalability
• Recognition of the parts of a system and ability to memorize new components
• Ability to learn new way to repair by recording the mechanics movement
• Adaptive level of detail (Components -> Sub-components)
• Import and deploy content and data of all kinds with a user-friendly graphic interface (pictures, data, sheets..)
• Scaling it to a large business, using multiple devices and hardware
• User-friendliness
• Head Mounted Device Versus Handheld Device
• End of the user manual “dictionary sized”
• Available for almost everyone through portable devices: tablets, phones...
32. Required improvements for Mainstream AR
32
1. Highly-efficient tracking and registration → CRUCIAL
2. High-resolution transparent displays → VITAL for glasses
3. Efficient and user-friendly AR content development → CRUCIAL
33. Kato, Zoltan. Linear and Nonlinear Shape Alignment without Correspondences. Computer Vision, Imaging and Computer Graphics: 7th International Joint Conference,
VISIGRAPP 2012. Rome, Italy, February 2012. Springer-Verlag Berlin Heidelberg: 2013 33
1 - Tracking and Registration
Main obstacles to accurate and reliable AR:
1. Instant object tracking and image registration.
2. This requires high-end graphic processing on a wearable device.
Enabled by:
1. Improvements in computer vision algorithms. → DEV UNDER WAY
(registration, 3D sensing, tracking, feature detection, etc.)
2. Improvements in processing power of of mobile devices. → DEV UNDER WAY
3. Leverage on cloud computing. → NOT TOO FAR AWAY
34. Object Registration
• In order to work effectively, the AR device
must recognize and register objects
immediately.s.
Tracking and Occlusion
• The device must be able to recognize and
track objects even as the user moves and
superimpose virtual content on a moving
background.
3D depth sensing
• 3D depth sensing is required to accurately
superimpose content
[1] Kato, Zoltan. Linear and Nonlinear Shape Alignment without Correspondences. Computer Vision, Imaging and Computer Graphics: 7th International Joint Conference, VISIGRAPP 2012. Rome, Italy, February 2012. Springer-Verlag Berlin Heidelberg: 2013
[2] Kalkofen, D. et al.. Visualization Techniques for Augmented Reality. Handbook of Augmented Reality. Edited by Borko Furht. eBook. Springer: 2011
[3] Ko, Dong-Ik, and Agarwal, Gaurav. Gesture recognition: Enabling natural interactions with electronics. White Paper, Texas Instruments. Texas Instruments: 2012. Available from http://www.ti.com/lit/wp/spry199/spry199.pdf.
[4] Handa, A., et al. Real-Time Camera Tracking: When is High Frame Rate Best? Department of Computing, Imperial College London, U.K. 2012: 12th European Conference on Computer Vision.
34
1 - Tracking and Registration Algorithms
35. 1 - Hardware processing improvements
• Improvements in mobile processors performance (Are mobile units going to catch
up with high-power processors?).
• Integrated graphic performance has increased 75x in about 8 years!
[1] Limer, Eric. May 1, 2013. Intel Iris: Integrated Graphics Are Finally Awesome. Gizmodo. Available from: http://gizmodo.com/intel-iris-integrated-graphics-are-finally-awesome-486483980.
[2] Shimpi, Anand Lal. July 17, 2013. The ARM Diaries Part 2: Understanding the Cortex AI2. ANANDTECH. Available from: http://www.anandtech.com/show/7126/the-arm-diaries-part-2-understanding-the-
cortex-a12.
[3] Anand Lal Shimpi et al. “The iPhone 5 review” Available at: http://www.anandtech.com/show/6330/the-iphone-5-review/9
35
36. 1 - Software processing improvements
Open CV:
• Developments in computer vision and AI lead to improvements in image
processing algorithms.
• OpenCV- open source project by Intel for advanced programming
functions aimed at real-time computer vision.
[1] Coombs, Joseph, and Prabhu, Rahul. OpenCV on TI’s DSP+ARM platforms: Mitigating the challenges of of porting OpenCV to embedded platforms. Texas Instruments. Available from:
http://www.ti.com/lit/wp/spry175/spry175.pdf.
[2] Kartoshkin, Vadim. Performance promise of OpenCV 3.0 and Intel INDE OpenCV. Intel Developer Zone. Available from: https://software.intel.com/en-us/articles/performance-promise-of-opencv-30-and-
intel-inde-opencv.
36
37. Kato, Zoltan. Linear and Nonlinear Shape Alignment without Correspondences. Computer Vision, Imaging and Computer Graphics: 7th International Joint Conference,
VISIGRAPP 2012. Rome, Italy, February 2012. Springer-Verlag Berlin Heidelberg: 2013 37
2 - High Resolution Transparent Displays
Main obstacles to realistic and reliable AR glasses:
1. The resolution and brightness of current see-through displays is insufficient.
2. Transparent display technology is still at an early stage.
Enabled by:
1. Improvements in transparent LCD displays. → DEV UNDER WAY
2. Improvements in transparent OLED displays → EARLY DEV STAGES
38. 2 - Transparent Display Technology
Improvements in transparent display technology are key to the
realization of head-mounted AR devices:
•High resolution
•High brightness and contrast
•Transparent and lightweight
Burns, Chris. Jan 12, 2012. Lumus DK-32 wearable display hands-on. Slash Gear. Available from http://www.slashgear.com/lumus-dk-32-wearable-display-hands-on-12208896/.
SGI News. April 09 2015. The Future of Home Display Made Possible By Transparent Display. Available from http://www.news-sgi.globalprintmonitor.org/en/news/industry-news/digital-signage/27995-the-future-of-home-display-made-possible-by-transparent-
display.
Dedezade, Ezat. This stunning smartwatch blends traditional mechanical innards with a transparent OLED display. Stuff.tv. Available from http://www.stuff.tv/news/stunning-smartwatch-blends-traditional-mechanical-innards-transparent-oled-display.
38
39. 2 - Transparent displays projection
Projected transparent display market.
• Transparent displays are expected to overtake opaque displays.
• LCD technology to dominate the early stages. -> BLU problem
[1] Displaybank “Transparent Display Market to Reach $87.2 Bln in 2025”. Available from http://www.displaybank.com/_eng/share/press_view.html?id=218792&
[2] Mertens, Ron. Oct. 22, 2014. Nanomarkets: LCD to dominate transparent display market in the next few years, but OLED adoption will rapidly pick up. OLED-info. Available from:
http://oleds6.rssing.com/browser.php?indx=9721861&item=44.
39
40. Kato, Zoltan. Linear and Nonlinear Shape Alignment without Correspondences. Computer Vision, Imaging and Computer Graphics: 7th International Joint Conference,
VISIGRAPP 2012. Rome, Italy, February 2012. Springer-Verlag Berlin Heidelberg: 2013 40
3 - Efficient and User-Friendly AR Content
Development
Main obstacles to the widespread use of AR:
1. Conceptually new software development, which involves reality.
2. Difficulty of AR content development.
Enabled by:
1. Development of novel user-friendly AR Authoring tools. → NOT TOO FAR AWAY
41. 3- Novel AR Authoring Tools
• Augmented Reality authoring
tools, such as SUGAR, are
currently developed for people
without programming skills to
create their own AR guides for
industrial purposes.
• These can be used to create
prototype AR models to aid in
assembly, design and
manufacturing.
Gimeno, et al. An Easy-to-Use AR Authoring Tool for Industrial Applications. Computer Vision, Imaging and Computer Graphics: 7th International Joint Conference,
VISIGRAPP 2012. Rome, Italy, February 2012. Springer-Verlag Berlin Heidelberg: 2013
41
42. 3 - Novel AR Authoring Tools - Case Study
PROC 1 - Replacement of the cut heading within a lathe machine (metal machining area)
PROC 2 - Computer assembly starting from basic components
PROC 3 - Repair of the admission system in a mobile lighting tower
PROC 4 - Review of the spark plugs and the ignition coils on a BMW M3 E92 (420CV)
S1 - Printed manual
S2 - Computer-Assisted Instructions (CAI) using a TabletPC display
S3 - CAI using a Head-Mounted Display (HMD)
[1] Gimeno, et al. An Easy-to-Use AR Authoring Tool for Industrial Applications. Computer
Vision, Imaging and Computer Graphics: 7th International Joint Conference, VISIGRAPP 2012. Rome,
Italy, February 2012. Springer-Verlag Berlin Heidelberg: 2013
SUGAR was used to create AR guides using HMDs and a TabletPC for 4
processes, and their efficiency was tested using four tasks.
42
43. 3 - Novel AR Authoring Tools - Case Study
Team 1 - used the classic AR development approach for developing AR tools
Team 2 - used SUGAR for developing AR tools for the four processes
Parameters: SLOC - number of Source Lines Of Code produced
FPS - frame rate in Frames Per Second
CT - Coding Time in working days
DT - Debugging Time in working days
TT - Total Time for development, in working days
Gimeno, et al. An Easy-to-Use AR Authoring Tool for Industrial Applications. Computer Vision, Imaging and Computer Graphics: 7th International Joint Conference, VISIGRAPP 2012.
Rome, Italy, February 2012. Springer-Verlag Berlin Heidelberg: 2013
The use of SUGAR greatly decreased the development time of AR guides for
different tasks.
43
44. 3 - Novel AR Authoring Tools
Other tools for AR development in mobile apps.
44
Product Company License Supported Platforms
ARPA SDKs Arpa
Solutions
Commercial* Android, iOS (ARPA SDKs), Google Glass (ARPA GLASS SDK), Android, iOS, Windows PC
(ARPA Unity Plugin)
ARLab SDKs ARLab Commercial Android, iOS
DroidAR – Free and Commercial Android
Metaio SDK Metaio Free and Commercial Android, iOS, Windows PC, Google Glass, Epson Moverio BT-200, Vuzix M-100, Unity
Vuforia SDK Qualcomm Free and Commercial Android, iOS, Unity
Wikitude SDK Wikitude
GmbH
Commercial* Android, iOS, Google Glass, Epson Moverio, Vuzix M-100, Optinvent ORA1, PhoneGap,
Titanium, Xamarin
[1] Katerina Roukounaki “Top 5 Tools for Augmented Reality in Mobile Apps”. Available at: http://www.developereconomics.com/top-5-tools-for-augmented-reality-in-mobile-apps/
46. AR in Maintenance and Manufacturing -
drivers and bottlenecks
46
Visualization during design and planning.
Reduction in completion time for complex tasks.
Reduction in human errors.
Reduction in workers’ mental load.
Technical assistance during maintenance.
Reduction in training time for new tasks/personnel.
Intrinsically complex algorithms and processes.
Sophisticated processing on a mobile device.
Limits to currently achievable speed and accuracy.
Transparent display technology not mature yet.
Challenging content development.
Drivers: Bottlenecks:
47. AR in Maintenance and Manufacturing -
Opportunities
47
AR software platforms and apps for hand-held devices.
AR glasses - product design & components assembly.
Transparent displays for AR glasses.
AR software for glasses and head-mounted displays.
48. Strategic Market Position Map
Increase of Efficiency for User
48
System
Adaptability
ARMAR*
2012 2011
2005
2003, acquired by Apple in 2015
2008
2013
2007
2010
49. AR - projections
49
[1] Tractica, “Installed Base of Mobile Augmented Reality Apps to Reach 2.2 Billion by 2019”. Available at: https://www.tractica.com/newsroom/press-releases/installed-base-of-mobile-augmented-reality-
apps-to-reach-2-2-billion-by-2019/
[2] Tractica, “Smart Augmented Reality Glasses Shipments to Surpass 12 Million Units between 2015 and 2020” May 2015. Available at: https://www.tractica.com/newsroom/press-releases/smart-
augmented-reality-glasses-shipments-to-surpass-12-million-units-between-2015-and-2020/
50. Response from Prof Andrew. Y.C. Nee, ME Dept. NUS
• What do you think would be the most important potential benefits of using AR in
manufacturing and maintenance applications?
o Realistic simulation and guidance in situ with display of text, animation and graphics.
o Bi-directional interaction and authoring with experts located remotely.
• What do you think are the biggest technological obstacles to mainstream use of AR in
manufacturing/maintenance at the present time?
o Hands-free light weight high resolution display tools. Google glass resolution insufficient.
o Highly efficient tracking and registration algorithms to provide real-time information
display.
o Efficient and clear content development for manufacturing applications rather time-
consuming.
50
51. Response from Prof Andrew. Y.C. Nee, ME Dept. NUS
• In your opinion, what emerging technologies are being developed to address these
technological obstacles and to improve AR products?
o Next generation Google glass.
o Better client-server communication and leverage of cloud.
• Given the improvements in AR and its component technologies, when do you think AR will
become widely used in manufacturing and maintenance?
o Acceptance by the workforce is important. They need to be trained and to overcome
the inconvenience of wearing headsets.
o AR wearables should be light, non-intrusive, and conducive to use.
51
53. References
Handa, A., et al. Real-Time Camera Tracking: When is High Frame Rate Best? Department of Computing,
Imperial College London, U.K. 2012: 12th European Conference on Computer Vision.
Herold, Rigo; Vogel, Uwe; Richter, B.; Kreye, D.; Reckziegel, S.; Scholles, M.; Lakner, H., "OLED-on-CMOS
integration for augmented-reality systems," in Photonics and Microsystems, 2008 International Students and
Young Scientists Workshop - , vol., no., pp.19-22, 20-22 June 2008. doi: 10.1109/STYSW.2008.5164134.
Available from http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=5164134.
Gimeno, et al. An Easy-to-Use AR Authoring Tool for Industrial Applications. Computer Vision, Imaging
and Computer Graphics: 7th International Joint Conference, VISIGRAPP 2012. Rome, Italy, February 2012.
Springer-Verlag Berlin Heidelberg: 2013
Kalkofen, D. et al.. Visualization Techniques for Augmented Reality. Handbook of Augmented Reality. Edited
by Borko Furht. eBook. Springer: 2011.
F. LAMBERTI, F. MANURI, A. SANNA, G. PARAVATI, P. PEZZOLLA,, P.MONTUSCHI Challenges, Opportunities,
and Future Trends of Emerging Techniques for Augmented Reality-Based Maintenance IEEE TRANSACTIONS ON
EMERGING TOPICS IN COMPUTING,Vol. 2, No. 4, DECEMBER 2014
A. Sanna, F. Manuri, F. Lamberti, G. Paravati, P. Pezzolla Using Handheld Devices to Support Augmented
Reality-based Maintenance and Assembly Tasks IEEE International Conference on Consumer Electronics, 2015
53
54. References
Kato, Zoltan. Linear and Nonlinear Shape Alignment without Correspondences. Computer Vision, Imaging and
Computer Graphics: 7th International Joint Conference, VISIGRAPP 2012. Rome, Italy, February 2012. Springer-
Verlag Berlin Heidelberg: 2013
Ko, Dong-Ik, and Agarwal, Gaurav. Gesture recognition: Enabling natural interactions with electronics. White
Paper, Texas Instruments. Texas Instruments: 2012. Available from
http://www.ti.com/lit/wp/spry199/spry199.pdf.
Panasonic. PanaCIM. Brochure. Available from
https://www.panasonicfa.com/sites/default/files/pdfs/MaintenanceAR_Panasonic.pdf. Logo from
https://www.panasonicfa.com/content/maintenance-augmented-reality-panacim%C2%AE-enterprise-edition.
54