Dave Jurasek

Menlo School

Papers

1

Total Citations

59

H-Index

1

About

Dave Jurasek is a computer vision engineer whose work bridges the gap between high-performance visual analysis and practical, deployable hardware. His key research areas include embedded stereo vision systems, real-time image processing, and robust visual perception for dynamic environments. Jurasek’s most notable contribution is the development of the Tyzx DeepSea G2 Vision System, a taskable, embedded stereo camera designed to operate reliably in demanding, variably lit, real-world conditions. This system, detailed in his 2006 paper (59 citations), emphasized not only accurate visual analysis but also compact size, low cost, and minimal power consumption—critical factors for real-world deployment in autonomous vehicles, robotics, and surveillance. His work has been influential in advancing practical vision systems that can function outside controlled laboratory settings. Jurasek’s achievements highlight the importance of integrating algorithmic robustness with hardware constraints, making him a key figure in the push toward affordable, field-ready computer vision solutions.

Research Focus

Key Achievements

1
H-Index
1
Papers
59
Total Citations
59
Avg Citations/Paper
🏆 Most Cited Paper
The Tyzx DeepSea G2 Vision System, ATaskable, Embedded Stereo Camera
59 citations · 2006
📈 Most Prolific Year: 2006 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Menlo School

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago