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DRONES
NIKO VUOKKO – SHARPER SHAPE
WHAT MAKES DRONES DIFFERENT?
GO WHERE IT’S
Too expensive
Too dangerous
Too difficult
Too much hassle
Too slow
Too intrusive
Too imprecise
WHERE ARE DRONES USED?
LOGISTICS DELIVERY
AERIAL IMAGING
LAND SURVEY
AGRICULTURE
ENVIRONMENT
ELECTRIC NETWORK INSPECTION
MOBILE NETWORK INSPECTION
PUBLIC INFRASTRUCTURE INSPECTION
WHY INFRASTRUCTURE?
Huge
Bulk
High
Cost of failure
IoT
Not worth it
MONITORING INFRASTRUCTURE IS EXPENSIVE
Extensive
Continuous
Diverse
Complex
DRONES & INTERNET OF THINGS
Shared tech
4 Cs: Cheap, Compact, Composable & Connected
Shared
ideology
Cheaper and continuous data collection
Different
method
Internal vs. external monitoring
DRONE DATA
GPS
LiDAR Thermal
Video +
Images
Telemetrics
Hyperspectral
CHARACTER OF DATA
Machine-
generated
Data quality
Privacy
National
security
Gathering &
management
Sensor
fusion
IS DRONE TECHNOLOGY MATURE YET?
ARE DRONE USERS MATURE YET?
Core advisors in creating international legislation (NASA, FAA, EASA, EC)
Sharper Shape the *only* company in Europe:
• Legal permit, capability and experience to fly BVLOS
• Legal permit, capability and experience to use 4 x 4G in drones
• Operate logistics deliveries with drones
FINLAND AND SHARPER SHAPE SHOWING EXAMPLE
300PAGES
300PAGES
130STEPS
Laws and regulation
Internal manuals
Flight ops flow diagram
… BUT READING BOOKS IS NOT ENOUGH
SUMMARY
Explore
Solve
Limits of tomorrow
Observe
Needs of today
Our environment
Drones in real use

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Drones in real use

Editor's Notes

  1. Drones can do more than just deliver your pizza and infringe your privacy This talk also discusses their relation to IoT
  2. Not feasible or worthy to equip sensors EXPENSIVE: sensors main cost, BVLOS DANGEROUS: to humans DIFFICULT: terrain, narrow spaces HASSLE: logistics, safety, spacing SLOW: response time, agility INTRUSIVE: noise, size IMPRECISE: machines vs humans
  3. Most well-known use case Photo is from the first flight in Europe for Urban Delivery
  4. Precision agriculture: treatment Aerial imaging: hobby/pro/gov Land mapping: planning, changes Environment surveying: changes
  5. Now showing several similar use cases Electric network inspection spearheads drone use
  6. More infrastructure we don’t pay attention to Mobile network inspection is just too hard without drones
  7. Similarly: roads, tunnels, bridges, rigs Everything set out there is wearing out How about erosion under those bridge supports?
  8. Huge amount, Strict expectations, Must not fail No sensors in a slab of concrete Too much to ever track with sensors
  9. Reason: High costs of failure + Infrastructure is in cold and rain EXT: 100 % coverage CONT: no gaps DIV: Cover all possibilities CMP: Important things hidden, digitization is a must
  10. IoT is convention theme Drones and IoT complement each other
  11. Difference: Drones: external, responsive, adaptable IoT: Internal, detailed, static Flexible vs. efficient
  12. Whatever you can nail on the drone Drones track changes  data goes stale
  13. MACH-GEN: huge, growth DATA QUALITY: real world is messed up PRIVACY: Especially imaging NAT SEC: E.g. LiDAR in some countries GATHER & MANAGE: Distributed sources, complex data FUSION: Real prize, multiply value
  14. Tech still very young Hobbyists drive limits Specialized components coming Plenty of obstacles left  It ”works”  Messy  but very useful !
  15. These are some way too common headlines
  16. Finland really formed the template for others We spearhead the industry: BVLOS is the future Stream 4K video? Use 4x4G networks We don’t do just inspection, but explore limits
  17. Not a wild west Not a cakewalk to get there Attention to detail, but fast progress
  18. Industry is still very young, that’s why you need experience No one knows how things might work, you just have to try things out
  19. OBS: Infrastructure is a special breakthrough use case Drones complement IoT Both try to understand the world SOLVE: Drones are very unique + useful already EXPL: What can be achieved? DATA: What and how?