Kongsberg Geospatial, along with its partner SFL Scientific, will demonstrate how a medium-sized commercial drone carrying a sensor package can autonomously recognize chemical threats, identifying and ultimately displaying invisible hazardous plumes, in real-time.
This implementation fuses data from a visual, thermal, multichannel chemical sensor (the FLIR MUVE C360), with environmental, and location data using a dedicated AI processor (the NVIDIA Jetson). The system leverages SFL custom bleeding-edge Generative Adversarial Networks (GANs) and Graph Deep Learning models to autonomously identify threats.
The resulting sensor picture, including threat identification and route suggestions from the AI systems, will be displayed in an integrated picture within Kongsberg Geospatial’s IRIS ground control station (GCS) system. IRIS is an airspace situational awareness system developed to provide drone operators with the necessary situational awareness to safely operate one or more drones Beyond Visual Line-of-Sight (BVLOS).