Cosmic ray detection using deep learning (RAY-DEEP)

The RAY-DEEP project, under the DIH4AI initiative, aimed to develop a system for real-time detection and analysis of cosmic rays using advanced technologies like FPGA and deep learning. The focus was on creating a high-speed, efficient system capable of detecting cosmic rays and classifying them using Deep Learning Convolutional Neural Networks. This system was expected to have significant applications in various fields such as scientific research, aerospace, and healthcare, providing crucial data for understanding cosmic ray effects and improving safety measures against them. The collaboration involved in this project brought together diverse expertise, aiming to push the boundaries of cosmic ray detection and analysis.