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REAL TIME AI ON THE EDGE
BY IMAGIMOB
Anders Hardebring
CEO and Co-Founder
Imagimob
anders@imagimob.com
PROBLEM
IN BRIEF
IMAGIMOB
Founded in 2013
Based in Stockholm
Experts in sensors and AI
SensorBeat
Real time AI on the edge
Large corporates
Ericsson
ABB
Automotive
Agriculture
Innovative startups
BellPal
Moggie
Startup of the year 2017
33-listan 2016 and 2017
Red Herring 2016
Have raised $1 million in
VC capital
PROBLEM
CHALLENGES IN IOT
Billions of devices creates
enourmous amounts of unstructured
data
What about latency and real time
requirements?
What about power consumption?
PROBLEM
PROBLEM
REAL TIME AI ON THE EDGE
Create a quick information loop, from data
creation, decision and action
Reduce the amount of sent data
Send only curated data
Reduce data communication costs
Reduce power consumption
SOLUTION
Real time AI
PROBLEM
BELLPAL – SMARTWATCH WITH FALL DETECTION
FOR THE ELDERLY
Data capture (SensorBeat Capture)
Data analysis (SensorBeat Analyser)
Learning (to detect falls)
Integration (SensorBeat Lib) on hw,
testing and tuning
Production of watch (by BellPal)
RESULTS
PROBLEM
MANY USE CASES FOR AI ON THE EDGE
CONCLUSION
BellPal is one example
We have 15 different projects where we add value
to companies, projects and products
Thanks!

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Imagimob presentation at the Stockholm IoT Investment Summit

  • 1. REAL TIME AI ON THE EDGE BY IMAGIMOB Anders Hardebring CEO and Co-Founder Imagimob anders@imagimob.com
  • 2. PROBLEM IN BRIEF IMAGIMOB Founded in 2013 Based in Stockholm Experts in sensors and AI SensorBeat Real time AI on the edge Large corporates Ericsson ABB Automotive Agriculture Innovative startups BellPal Moggie Startup of the year 2017 33-listan 2016 and 2017 Red Herring 2016 Have raised $1 million in VC capital
  • 3. PROBLEM CHALLENGES IN IOT Billions of devices creates enourmous amounts of unstructured data What about latency and real time requirements? What about power consumption? PROBLEM
  • 4. PROBLEM REAL TIME AI ON THE EDGE Create a quick information loop, from data creation, decision and action Reduce the amount of sent data Send only curated data Reduce data communication costs Reduce power consumption SOLUTION Real time AI
  • 5. PROBLEM BELLPAL – SMARTWATCH WITH FALL DETECTION FOR THE ELDERLY Data capture (SensorBeat Capture) Data analysis (SensorBeat Analyser) Learning (to detect falls) Integration (SensorBeat Lib) on hw, testing and tuning Production of watch (by BellPal) RESULTS
  • 6. PROBLEM MANY USE CASES FOR AI ON THE EDGE CONCLUSION BellPal is one example We have 15 different projects where we add value to companies, projects and products Thanks!