AI-Powered Smart Glasses Help Visually Impaired Runners Navigate Independently
A team of students from the University of Indonesia has developed RunSight, an AI-powered wearable designed to give visually impaired runners the freedom to run safely and independently. The innovation, which utilizes computer vision and artificial intelligence, represents a significant step forward in assistive technology and highlights Indonesia’s growing role in the global tech landscape.
RunSight functions as a virtual guide, identifying running lanes and detecting obstacles in real-time. The device, resembling a pair of smart glasses, then delivers audio instructions to the runner, allowing for a more confident and less reliant running experience. According to reports, the glasses use an RGB camera to capture the track ahead and process the visual data.
The project, spearheaded by the Labmino UI group, has garnered international recognition, earning the team a position as a Global Ambassador in Samsung’s Solve for Tomorrow (SFT) program. This achievement follows their success in national and regional rounds beginning in May 2025, as detailed in Selular.ID. RunSight was selected as one of ten teams worldwide to receive this honor.
“RunSight represents a significant leap forward in assistive technology, demonstrating how AI can be harnessed to create impactful, inclusive, and sustainable solutions,” according to reporting on the project. The success of Labmino underscores the potential of Indonesian innovators to address real-world challenges with cutting-edge technology. The team’s work was also highlighted in Warta Pontianak.
This development comes as Indonesia continues to establish itself as a growing force in the field of artificial intelligence. The project exemplifies a trend of university innovation evolving into practical technology with tangible social benefits, as noted in Let’s Data Science. The team’s success in the Samsung Solve for Tomorrow program further validates the potential of Indonesian tech talent on a global scale.