Papers
1
Total Citations
3
H-Index
1
About
David Pozo is a researcher focused on accessible, high-performance sensing systems for computer vision and robotics. His key contributions lie in democratizing multi-view capture technology, enabling researchers to build synchronized camera arrays without expensive proprietary hardware. His most notable work, "Sub-millisecond Video Synchronization of Multiple Android Smartphones" (2021), tackles the critical challenge of achieving precise temporal alignment across low-cost devices. By developing a publicly available Android application, Pozo demonstrated that off-the-shelf smartphones can achieve sub-millisecond synchronization—a feat previously requiring specialized equipment. This breakthrough opens new possibilities for high-dynamic environment applications, from motion capture to autonomous navigation, making advanced multi-view systems accessible to labs with limited budgets. While his citation count (3) reflects the emerging nature of this work, the practical impact is significant: his solution reduces hardware costs by orders of magnitude compared to traditional setups. Pozo’s research exemplifies how clever software engineering can bridge the gap between consumer technology and scientific instrumentation, paving the way for more inclusive and scalable research tools in computer vision.
Research Focus
Key Achievements
Top Papers
- 1Sub-millisecond Video Synchronization of Multiple Android Smartphones3 citations · 2021