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Mr. Jay Arnold, Magnolia River
Mr. Richard Vincent, McKim & Creed
Why Change?
Electric Utility
Safety and Reliability NERC FAC-
008 and FAC-003
As Built Infrastructure
monitor vegetation
annual requirement
Oil and Gas
PHMSA (US DOT)
PSC
Technology Driven Change
Technology Driven Customer Expectations
Technology leadership
Faster delivery
Lower cost /added value
Improved safety – reduced risk
Answers to solve a problem
Not Just Data
Although some still are
in the analogue world
The Crowd Change
Small ubiquitous sensors
active or passive costing less
than $5,000
Both commercial and
personal use
Using apps or cloud-based
processing for initial data (3D
point/pixel creation)
The Crowd Change
Based on Machine Vision “robotics”
Cloud-based SAS pricing – resulting
in a “colorized point cloud”
New 3D on the fly computations –
measurements and feedback such as
(Kinect) and Intel RealSense,etc
Google-Project Tango
MatterPort
DotProduct3D
Intel RealSense
The Crowd Revolution
https://www.youtube.com/watch?v=vD
NzTasuYEw
The Coming Crowd Revolution Professional 3D scanning
expensive hardware and software
Complicated workflows and special
knowledge experience required to
create “information”
“Crowd-sourced” - currently used
as “complimentary” technology to
terrestrial laser scanning
The Crowd Revolution not Evolution Using tablets and phones –
3D will explode based on
“consumer level” tools
Clients will be able to
collect and cloud-process
their own data into relative
3D space
Less accurate in absolute
terms – more flexible and
low cost
The Crowd Revolution
Google June 2014 –
1st consumer device based
on Project Tango would be LG,
with an expected launch date in
2015.
This device is the built-in 3D
scanning technology which
makes it possible to create
accurate 3D maps on the fly.
Scan duration is 3 minutes – 20 minutes processing
Permanent 3D record -3D points
http://www.dotproduct3d.com/Industrial.php
The Crowd Revolution
(DOTPRODUCT Example)
Expectations in the Market
Cheaper
Faster
More accurate ??
Do it myself
Drones “aka” sUAS
Drones “aka” sUAS Commercial Operations Tierra Antigua Realty
Trimble Navigation Limited
Clayco, Inc.
Astraeus Aerial
HeliVideo Productions, LLC
RC Pro Productions Consulting
Snaproll Media, LLC
Advanced Aviation Solutions
VDOS Global, LLC
Woolpert, Inc.
Aerial MOB, LLC
Pictorvision Inc.
Vortex Aerial
NEWSFLASH10 U.S. media companies,
including the New York
Times, the Associated Press
and NBCUniversal, will test
the use of drones for news
gathering, seeking to
persuade the government
to broaden the
commercial use of the
small unmanned aircraft.
Hot Button Issue – Negative Reaction
Professional Aerial Photographers
Association
- Safety concerns
- Lack of no rules
- Impact to jobs
Airline Pilots Association
- Safety concerns
And what about privacy?
Hot Button Issue - Positive Reaction
AUVSI
Small UAV Coalition
- 3DR
- Aerialtronics
- Airware
- Amazon Prime
- DJI Innovations
- Google[x]'s Project Wing
- GoPro and Parrot as founding members
DYI Drones > 50K members
Drones “aka” sUAS Commercial Operations
Much like GPS
revolutionized survey,
sUAS will do the same
for mapping
sUAS mapping is the
natural progression to
aerial mapping and
complimentary to survey
Drones “aka” sUAS Major Investments
PrecisionHawk - Intel Capital is joining a $10 million
funding round to help build out future iterations of the
company’s unmanned aerial vehicles (UAVs) and cloud
backend of making UAVs as automated as possible for
users.
Airware raised $25 million - work is on hardware,
operating systems, and cloud services for unmanned
aircraft
Google SkyBox
Planet Labs
Urthecast
Digital Globe
Satellites and Technology• 90 sec HD video
• Sub meter imagery
• Planned 24 Sat
Constellation
• Data + analytics
• NanoSats - “Doves” 3-5m
daily data
• Approx. 100 Sat
Constellation
• Data
• Sub meter imagery
• Data + analytics
• Crowdsourced - TOMNOD
• HD video 1m and 6M
resolution
• Real time tasking
• Data + analytics
1 petabyte (1000 terabytes)
1.5 petabytes
100 petabytes
1 zettaByte (1000 EB)
1 exabyte (1000 PB)
Big Data From Small Platforms to Big Data
13.3 yrs of HD video
Size of FaceBook photos > 10 billion
Annual YouTube video upload
1 million petabytes
All words ever spoken by humans
1930 - Information base 2x every 30 years
1970 - Information base 2x every 7 years
2000 - Information base 2x every 4 years
2012 - Five exabytes every 2 days
2020 - Estimated 35 zettabytes annually
“Every two days now we
create as much information
as we did from the dawn of
civilization up until 2003.”
Eric Schmidt,
Executive Chair, Google
Big Data: From Small Platforms to Big Data
Drones - 30,000+ flying in US by 2020
Cell phone and tablets
196 million smartphone users by 2018
31 million 3D tablets by 2018
Estimated data upload by smartphone and tablets – 95%
of the data “location aware” – 20+ petabytes annually
Globally, IP video traffic will reach 103.8 exabytes per
month in 2018, up from 33.6 exabytes per month in 2013
* Cisco VNI
Big Data: From Small Platforms to Big Data
ACM – Association for Computing Machinery
(SIGSPATIAL) Analytics for BIG Geospatial Data
Big Data: From Small Platforms to Big Data
Federal Geographic Data Committee (FGDC)
Over 90% of government information has a geospatial
component
Over 95 % of business information has a geospatial
component
The 4 FOUR “V’s” of Big Geospatial Data
• ExaBytes to store, process and analyzeVolume
• Multiple “geo” sensors and non-geo sensorsVariety
• Real time information and changeVelocity
• Conforming with truth or factVeracity
Technology Driven Change
Geo
LocationTime
EventActivity
The process of developing actionable information based on the application of statistical models and analysis against existing and/or simulated future data
Data Analytics
Why does this matter?
Safety is KEY and taking the
human out of the loop
reduces risk to life and limb
Utilities look to reduce costs
and risk
These digital technologies
can assist in internal
compliance monitoring
programs
All these technologies are
“easy to use”
Percieved Low cost
Why Does This Matter?
Data without intelligence
and information without analytics
is like Groundhog Day
Repeat the Life Cycle –The Mapping Mantra
Deliver data, points, pixels, lines
Repeat on an annual basis (hopefully)
Hoping for a Change