
EDGE SpAIce provides near real-time plastic detection and monitoring in marine environments using edge-AI. It reduces deep neural network requirements to run on satellite hardware while preserving accuracy. The project focuses on edge-AI technology for Earth observation, enabling fast onboard processing and space-based services. Core technologies include DNN optimization, FPGA / SoC-FPGA deployment, computer vision, and HLS4ML for efficient AI execution. The work targets organizations involved in marine monitoring and Earth observation, scaling across satellite platforms.

EDGE SpAIce provides near real-time plastic detection and monitoring in marine environments using edge-AI. It reduces deep neural network requirements to run on satellite hardware while preserving accuracy. The project focuses on edge-AI technology for Earth observation, enabling fast onboard processing and space-based services. Core technologies include DNN optimization, FPGA / SoC-FPGA deployment, computer vision, and HLS4ML for efficient AI execution. The work targets organizations involved in marine monitoring and Earth observation, scaling across satellite platforms.