Miguel Contreras

Papers

Total Citations

H-Index

About

Miguel Contreras has made focused contributions at the intersection of computer vision, embedded systems, and robotics, particularly in the domain of robot soccer. His work centers on developing intelligent, real-time vision systems that can operate autonomously on embedded hardware. Contreras’s most notable contribution is the design and implementation of a smart camera on an FPGA for global vision in robot soccer, a system capable of object identification and tracking without relying on a host computer. He further advanced the field by tackling a persistent challenge in robot soccer: the labor-intensive and illumination-sensitive task of manual color segmentation. His 2015 paper introduces an automatic algorithm for gain control and white balancing directly within the camera, significantly reducing the effects of lighting variations on color thresholds. While his citation counts (ranging from 4 to 6) reflect a specialized, early-stage impact, his work represents a practical, hardware-oriented approach to making robot vision more robust and autonomous. Contreras’s research is particularly valuable for students and engineers interested in FPGA-based embedded vision, real-time object tracking, and the practical deployment of computer vision in dynamic, competitive environments like robot soccer.