STAR.VISION’s Spaceborne AI Algorithm Rideshare Programme Enters Development Phase
In June 2024, STAR.VISION initiated knowledge-sharing workshops focused on deploying AI in space applications, engaging partners from over 20 countries and regions. African participation was particularly robust, with 120 participants from Kenya, Tanzania, and Zambia representing 15 universities and three remote sensing institutions. The programme is the result of agreements STAR.VISION announced with Zambia’s National Remote Sensing Centre (NRSC) and the Regional Centre for Mapping of Resources for Development (RCMRD) during the Kenya Space Expo 2024.
These workshops featured online lectures by leading AI experts, such as Dr Kang Yashu, Chief AI Scientist and Director of the Research Group at STAR.VISION, and Dr Mohammed Rizwan, Associate Professor at Sultan Qaboos University in Oman. On September 19, 2024, the final workshop of the first phase was successfully held, completing the programme’s initial objective of sharing high-quality knowledge on space AI. The participants explored advanced geospatial intelligence applications and in-orbit AI integration and laid the groundwork for cross-border collaboration.
With the conclusion of phase one, the programme has entered phase two, where participating teams are developing AI codes for specific application scenarios intended for on-orbit deployment. STAR.VISION continues to provide support to ensure the smooth progression of these projects, aiming for innovative breakthroughs in global Space AI research. “We are excited to see the creativity and ideas emerging from this collaboration,” said a STAR.VISION spokesperson. “We look forward to seeing the practical outcomes of these projects in the space AI analysis field, driving further transformation.”
A History of Success and Expansion
In 2023, STAR.VISION successfully launched its inaugural AI Algorithm Rideshare Programme 1.0. This programme supported space engineers and researchers worldwide, including a team from the Rwanda Space Agency (RSA) and STAR.VISION Aerospace Limited. The collaboration led to developing and deploying AI algorithms aboard the WJ-1A satellite. Six students from Rwandan universities, including the University of Rwanda and Carnegie Mellon University Africa, were crucial in creating these algorithms under the mentorship of RSA engineers. This technology allowed the satellite to process images independently, facilitating real-time land use assessments without extensive data downloads.
Building on this success, STAR.VISION expanded the programme in 2024, attracting more participants. The thematic focus areas, including urban management, land use classification, and maritime surveillance, showcased how AI integration can enhance satellite performance and reduce R&D costs while raising awareness of space technologies in local communities.
Global Synergy and Technological Innovation
STAR.VISION’s AI Algorithm Rideshare Programme aims to provide a free, open platform for global research organisations to develop innovative solutions and collaborate across regions. Therefore, participants gain access to one of the most advanced AI satellite platforms available, with goals focused on developing on-orbit AI algorithms, training engineers, and improving spacecraft efficiency.