Machine Learning and IoT Integration

GeoMapVision harnesses the power of machine learning (ML) to analyze and interpret data, making our visualizations more intelligent and predictive. We integrate data from IoT sensors that collect all kinds of weather information in real-time. Currently, we provide data on a grid of 1km x 1km, with future models working with predictions on a 100m x 100m grid for any region. Based on our extensive experience in monitoring fires and analyzing fire-related data, we create machine learning models that enhance our predictive capabilities. By combining ML algorithms with IoT data, we enrich data with our features to offer advanced weather insights and forecasts that are accurate and up-to-date. Machine learning models are a core component of our processes, ensuring that our analyses are both robust and scalable.

We currently collaborate with different teams, such as forest rangers and local authorities, to provide fire data and other critical information. This collaboration ensures that our data is not only accurate but also actionable, helping these teams make informed decisions in real-time.