December 15, 2020 8:30 PM

Computer vision for situational awareness

Understanding the current situation is extremely valuable in many environments, ranging from manufacturing, managing operations to planning and executing complex logistics. Weather often plays a key role in forecasting the future outcomes of a planned process, but many other steps can be analyzed with computer vision too. The first part of the webinar will dive into improving situational awareness with computer vision. With concrete reference cases we will demonstrate the value of computer vision in getting insights about how many vehicles are present at a certain location, how many parcels have passed by and are waiting to be treated, as well as how many cargo ships are currently at a certain port. In the second part, Svante Henriksson from Hurricane Unwinder, a company lead by former Finnish Meteorological Institute researchers, teach how to revolutionize the way tropical cyclones are being tracked. Together with Hurricane Unwinder, we’ve built a computer vision solution that predicts tropical cyclones in the coastal areas of the Atlantic, the Pacific and the Indian Ocean and forecasts the hurricane intensity. The solution won the ESA’s Earth observation award Copernicus Masters in 2018. – Traditional numerical weather forecasts are not able to forecast the intensity of the storm at the same level of detail as satellite images do. There is no existing computer-vision-based product to predict intensity changes, although scientific research supports the approach. With the help of Silo AI, we’ve been able to create the world’s first forecasting solution with world-class accuracy, says Svante Henriksson, CEO of Hurricane Unwinder.

00
Days
00
Hours
00
Minutes
00
Seconds

Watch the webinar to learn about improving situational awareness with computer vision through concrete reference cases that will demonstrate the value of computer vision in getting insights about how many vehicles are present at a certain location, how many parcels have passed by and are waiting to be treated, as well as how many cargo ships are currently at a certain port.

In this webinar you will learn about:

Machines sensing in the age of computer vision
AI enabling next-generation weather data
Tropical storm intensity estimation with computer vision

Joining the webinar

Svante Henriksson

CEO

Hurricane Unwinder

Svante Henriksson is the CEO and Founder of Hurricane Unwinder, with a strong climate research background of over 11 years. Svante has researched hurricanes and the reasons behind the formation of very strong winds at the Finnish meteorological institute for over 5 years.  Svante also has experience in renewable energy and fusion energy, teaching and economics.

Nico Holmberg

AI Scientist

Silo AI

Nico is an experienced machine learning expert, specialized in building computer vision solutions to improve situational awareness or forecasting, with methods like object recognition and segmentation to video analytics. Nico has a PhD in Computational Quantum Chemistry from Aalto University. In academia, Nico's research focused on developing new methods to design effective materials for renewable energy applications.

Moderating the webinar

Niko Vuokko, PhD

CTO, CBO Smart Things

Silo AI

Dr. Niko Vuokko, Chief Technology Officer, is specialized in fast-growth data-driven B2B, Niko’s expertise spans product, strategy, technology, and business development with a key passion in aligning sales and product. He runs Silo AI's Smart Things business unit and heads Silo AI's offering. Niko holds an olympic medal in mathematics and PhD in data science, and has co-founded, advised, and sat on the board of several digital startups.

Pauliina Alanen

Former Head of Brand

Silo AI