A discussion on the role of smart glasses in the Industry 4.0 context firstly requires a classification on the different types of smart glasses. A taxonomy for smart eyewear allows to map use cases and business requirements of the industry with the strengths and weaknesses of each class. The gap between business reality and hardware aspiration is the basis to discuss future trends and the expected evolution. Smart glasses are a key component to provide human-centered support and to connect the desk-less operator with the IoT and other elements of the cyber-physical factory of the future.

2. Session Focus
• Accelerating Adoption of Smart Glasses
– Challenges by Market
– End user requirements and expectations
• Some Survey Findings
• Taxonomy
– Use Cases and User Experience

3. Speakers
• Rudi Schubert – IEEE Standards Association
• Peter Verstraeten - Proceedix
• Bjorn Schwerdtfeger – AR.Experts.de

4. IEEE-SA Roadmap Activity - Goals
– Identify technology gaps, barriers to widespread adoption
– Identify standards needs and other issues to be addressed in
helping to enable broader adoption
– Identify use cases -- where do technology gaps and needs
intersect for these specific applications
– Make recommendations to industry to initiate follow on actions
that will address and accelerate solutions to the identified issues

5. Market Segments – Priorities Vary!
• Industrial Applications
• Consumer Applications
• Military/Emergency Services Applications
• Professional Services Applications

6. AR Adoption Workshop Findings - Industrial
• Introduction of Emerging Technologies – Internal Cultural Shifts
• Challenging in a Conservative Environment
• What are the Applications and Use Cases that are Compelling
• What functions clearly benefit? Novelty cases are counter-productive
• What to specify in an RFP? Standardization is still in its early stages
• Integration with Legacy Systems
• Safety Considerations
• How do we justify the Return on Investment?
• Plug & Play – physical connections, power management, security
Just because we can do it, doesn’t mean widespread adoption and embrace of new
technologies….at least not very quickly

7. Key Takeaways
• More than 2 in 5 (44%) believe the adoption of smart eye-wear is slower than expected. Less than
1 in 10 (7%) believe it is faster than expected.
• Even though possible adoption hurdles cited more are technology related, top buying criteria seem
to be more focused around non-technical features.
• Majority of responses are from small (less than 100 employees) OR large companies (1000+
employees) who are in commercial/industrial sector.

8. 3. What is your level of familiarity with smart eyewear?
6%
13%
9%
28%
44%
I have read about it, but never seen
or used it
I have seen/tested them at a trade
show or other demonstration
I have tested them as an enthusiast I am engaged in pilots for my
company
I help create the technology,
components or software
applications
Familiarity with Smart Eye-Wear
• Most respondents have first hand experience with smart eye-wear.

9. 6. Currently what do you believe is the pace of adoption of the smart eye-wear?
7. Briefly please explain your previous answer?
Attitude Regarding Adoption
• Very few believe that the pace of adoption of smart eye-wear technology is faster than anticipated.
• Both technological and market non-readiness were noted as the reason behind this.
Current Adoption of Smart Eye-Wear
45%
48%
7%
Slower than we anticipated
On pace as we anticipated
Faster than we anticipated
Reasons for Adoption
Slower Than Anticipated:
“Mining, Oil & Gas company are very slow to adopt new technology.”
“Hardware is not really where it needs to be yet.”
“There is currently less interest in smart glasses when compared to other forms of wearable
technology.”
On Pace:
“Adoption needs time to figure out the final service with adequate software/app and
further on the field testing”
“The display technology is finally maturing as are ancillary technologies. What we are
lacking are the Killer Aps.“
Faster Than Anticipated:
“Adaptation of new technology is faster since know how is globally accessible.”
“Industrial Customers are currently using it while others are beginning to consider it in the
near future.”

10. 8. Below are some possible hurdles for adoption of smart eye-wear. Please select the level of importance of each hurdle in your market segment. If the listed hurdle is not
relevant to your market, please select “N/A”.
Possible Hurdles to Adoption
9%
18%
14%
36%
27%
32%
32%
17%
41%
45%
23%
55%
45%
59%
14%
5%
23%
9%
27%
23%
27%
39%
18%
14%
36%
14%
32%
14%
73%
73%
55%
50%
41%
36%
36%
35%
32%
32%
32%
27%
18%
18%
Insufficient battery life
Too high price
Wearer comfort (weight, fit)
Adaptability& integration
Lack of user knowledge
Lack of interoperability
Lack of Infrastructure
Lack of robustness
Security
Not meeting fashion expectations
Behavioral/cultural compatibility
Wearer safety
Insufficient processing power
Privacy concern
Bottom2Box Middle Box Top2Box

11. 12. Below are the criteria that you believe are important smart eye-wear users. Please rank them in order of importance, where 1 is most important, 2 is second most important and so on.
1.9
2.2
3.0
3.0
3.0
3.1
3.2
3.5
3.8
4.0
4.0
4.4
4.6
4.7
4.8
4.8
4.8
6.0
6.4
Cost (of device)
Size & Weight
Wearer comfort (e.g. glass weight, balance, etc.)
Design – Form Factor
Input Device(s)
Device Control Capabilities (e.g. Touch-pad, voice control, gesture control,…
Content (Apps)
Operating System (e.g. Android, Windows, development SDK, etc.)
Connectivity (e.g. WiFi, Bluetooth, Phone Connection, etc.)
Power Consumption / Battery Life
Contrast & Brightness
Display/optical engine position (position on the eye)
Optical engine technology (e.g. display, monocular see-through, binocular…
Prescription Glasses
Field of View
Camera Capabilities (e.g. zoom, scanning, etc.)
Wearer safety (e.g. glass transparency, combine with safety shield, etc.)
Cost (of Mass Production)
Display Resolution
Smart Eye-Wear Buying Criteria
Even though possible adoption hurdles cited more are technology related, top buying criteria seem
to be more focused around non-technical features.

12. 13. For your market segment, to the best of your judgment, please select the Need for each of the following features. If a feature is not relevant to your market, please
select “N/A”
71%
65%
65%
59%
53%
53%
53%
50%
47%
41%
38%
18%
18%
6%
2. The need for smart eye-wear to provide 2nd screen based information or guidance:
4. The need for smart eye-wear to provide true augmented reality based training:
1. The need for smart eye-wear to support work order transaction execution:
3. The need for smart eye-wear to provide true augmented reality based information…
14. The need for smart eye-wear to provide a hands-free smartphone:
6. The need for smart eye-wear to provide guidance by remote expert:
8. The need for smart eye-wear to allow activity recording:
13. The need for smart eye-wear to provide a bionic eye:
7. The need for smart eye-wear to provide augmented reality based fitting support:
9. The need for smart eye-wear to provide augmented reality based communication:
12. The need for smart eyewear to support augmented media and entertainment:
5. The need for smart eye-wear to provide virtual reality based training:
10. The need for smart eye-wear to provide augmented reality based gaming:
11. The need for smart eye-wear to provide virtual reality based gaming:
Features of Smart Eye-Wear
(Top2Box)

13. 15. Lastly, thinking of your industry, to the best of your judgment, please select the Need for each of the following types of smart eye-wear.
63%
41%
38%
31%
19%
The Smart rear mirror type of glassGlasses with display in the corner of the field of view (e.g.
Google Glass, Vuzix M100, Kopin,....)
The Glass-cam type of glassGlasses with integrated camera for streaming wearer perspective but
with optical engine or display (eg pivothead)
The Smart binocular type of glassGlasses with see-through optical engine for both eyes (ODG,
Hololens, Moverio,....)
The Smart monocular type of glassGlass with one see-through optical engine (e.g. Lumus,
Optinvent,...)
The Immersive eye-wear type of glassVR goggle like Oculus, Samsung,...
Need for Types of Smart Eye-Wear
• Smart rear mirror type glasses are most important to this group of respondents.
(Top2Box)

14. Role of smart glasses

15. Role of smart eyewear in Industry 4.0

16. Desk-less workers: 2 key use cases

17. Enterprise needs & challenges

18. Role integration

19. Smart eyewear landing in enterprise

20. Augmented & Virtual Reality ConsultingAR-Experts.de
by Dr. Schwerdtfeger & Friends
WE BELIEVE IN THE INCREDIBLE POTENTIAL OF AR
AR will fully revolutionise the way we are interacting with information
and thus change every second workplace.
>10 years experience

21. Production Volkswagen Golf
0
2.25
4.5
6.75
9
11.25
Golf 1 Golf 2 Golf 3 Golf 4 Golf 5 Golf 6

22. New Car Models (Germany)
0
45
90
135
180
225
2006 2013 2020

23. Real Reality
- 4,6 Bn Years of Development
- Long, Iterative Process (try-and-error)
- Quite Cool Result
- How long vor Real Reality + X ?

24. Classification of Use Cases
T.B.D.
Time
Expert Tool / Short Term Use Full Work Shift
Smart Glasses
- Handsfree
- Mobile Display
Quality AR Glasses
- Inaccurate Positions
- “screwing”
Quantity AR Glasses
- certifiable accuracy
- “drilling”

25. Challenges Quantity AR Glasses