Participation in SciTinyML 2025 with the Presentation of the MILO Experiment from the QUETZAL-2 Satellite
The UVG Aerospace Laboratory shared advances in artificial intelligence for nanosatellites at SciTinyML 2025
José Bagur during his presentation on MILO at SciTinyML 2025The Aerospace Laboratory at Universidad del Valle de Guatemala (UVG) participated in the SciTinyML 2025: Scientific Use of Machine Learning on Low-Power Devices event, held at Universidad Javeriana in Bogotá, Colombia, where researchers, educators, and developers from the Latin American region shared experiences on the application of Machine Learning in embedded devices.
During the event, José Bagur, researcher and coordinator of the Laboratory, delivered a talk titled “Edge AI for Autonomous Cloud Detection in Guatemala’s Second CubeSat”, in which he presented the advances of MILO (Machine Intelligence for Layer Observation), one of the experiments that are part of the QUETZAL-2 satellite.
MILO integrates artificial intelligence algorithms into the satellite for autonomous cloud detection, using the OpenMV Cam H7 Plus camera and AI models trained with the Edge Impulse platform. This work represents an important step in incorporating TinyML and Edge AI into educational space missions in Latin America, reaffirming the commitment of the UVG Aerospace Laboratory to open research and the development of accessible space technology.