Mike Trent
Papers
1
Total Citations
4
H-Index
1
About
Dr. Mike Trent is a researcher whose work lies at the intersection of embedded systems, computer vision, and assistive technology. His primary research focus is on developing low-power, portable, and cost-effective real-time sensing solutions for obstacle detection. His most notable contribution is the design and implementation of an FPGA-based portable real-time obstacle detection and notification system (2016, 4 citations), which directly addresses the critical challenge of creating a practical, low-cost assistive device. By leveraging Field-Programmable Gate Arrays (FPGAs), Dr. Trent’s work demonstrates a path toward efficient, high-performance vision processing that is both portable and accessible, a significant step forward for assistive technology for the visually impaired. While his citation count is modest, the foundational nature of his work—prioritizing real-world applicability and low power consumption over raw computational power—positions him as a key contributor to the future of embedded vision systems. His research serves as an important reference for engineers and researchers seeking to bridge the gap between powerful computer vision algorithms and the constraints of portable, battery-operated devices.
Research Focus
Key Achievements
Top Papers
- 1