We have seen it in the press, when they report on the buildings evacuated due to the eruption of the Cumbre Vieja volcano on the island of La Palma, Spain. And also when estimating the damage caused by the natural fires in California last summer.
Computer vision (CV) and specialized artificial intelligence (AI) models help us to detect the affected elements, classify the damage, calculate the hectares of forest destroyed and the structural elements damaged, among many other things. Emergency crews, authorities, landowners and the general public benefit from the capabilities that new technology offers.
And not just after the fact anymore, solutions like DamageMap, a collaborative project between researchers at Stanford University and California Polytechnic State University, San Luis Obispo, uses aerial imagery and a deep learning algorithm to identify damage to buildings after a wildfire event in near real-time. The application could potentially guide relief personnel and crews to the areas that need it most, and keep other parties informed from a distance.
As Michelle Horton, senior developer communication manager at NVIDIA, reports, “The technology is not only accurate, it’s also fast. Using an NVIDIA GPU and the PyTorch deep learning framework accelerated by cuDNN, DamageMap processes images at a speed of approximately 60 milliseconds per image.”
At GRABIT we are experts in applying artificial vision to 100% practical solutions. We have developed our own software on market technology, reducing costs and integration effort to a minimum. And we have the ability to deploy a prototype independently and in a short period of time, so that the model shows its worth and starts learning from a very early stage of the project.
Try us and you will discover how easy it is to access a better future.
