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.