On 28 April 2026, members of the Research Centre for Artificial Intelligence in Geomatics (RCAIG) conducted a technical visit to the Land Registry Archive at the Sha Tin Government Offices.
The visit began with a detailed overview of the history and evolution of land registration in Hong Kong, followed by a viewing of the Archive’s preserved historical records. This session offered participants a unique perspective on how archival data serves as the foundation for modern land administration and public services.
Professor Qihao Weng, Director of the JC STEM Lab of Earth Observations and RCAIG, provided an overview of the Centre’s establishment and shared updates on its latest research and projects.
To conclude the visit, both parties engaged in a productive brainstorming session to explore potential collaborations. The discussion focused on the intersection of AI and geomatics, specifically addressing how AI can enhance cadastral surveys and its potential to transcribe and trace historical documents written in traditional calligraphy. The group also discussed the feasibility of developing specialized applications to streamline these processes.
Overall, the visit served as a valuable platform for knowledge exchange, laying the groundwork for future partnerships between RCAIG and the Land Registry. By bridging archival expertise with cutting-edge AI research, both organizations look forward to exploring innovative solutions for land record management.
The visit began with a detailed overview of the history and evolution of land registration in Hong Kong, followed by a viewing of the Archive’s preserved historical records. This session offered participants a unique perspective on how archival data serves as the foundation for modern land administration and public services.
Professor Qihao Weng, Director of the JC STEM Lab of Earth Observations and RCAIG, provided an overview of the Centre’s establishment and shared updates on its latest research and projects.
To conclude the visit, both parties engaged in a productive brainstorming session to explore potential collaborations. The discussion focused on the intersection of AI and geomatics, specifically addressing how AI can enhance cadastral surveys and its potential to transcribe and trace historical documents written in traditional calligraphy. The group also discussed the feasibility of developing specialized applications to streamline these processes.
Overall, the visit served as a valuable platform for knowledge exchange, laying the groundwork for future partnerships between RCAIG and the Land Registry. By bridging archival expertise with cutting-edge AI research, both organizations look forward to exploring innovative solutions for land record management.
