Sanjaa Bold

Mokpo National University, University of the Humanities

Papers

Total Citations

H-Index

About

Sanjaa Bold is a researcher in embedded systems and autonomous robotics, with a focus on real-time object tracking and computer vision. His work integrates field-programmable gate array (FPGA) technology and camera-based sensing to enable intelligent, low-latency control in mobile platforms. In his highly cited 2013 paper, "FPGA Based Real Time Embedded Color Tracking Mobile Robot" (9 citations), Bold developed a prototype tracking system that uses CMOS cameras for color-based object detection, applied to construction vehicle coordination. He extended this work in 2016 with "Implementation of Autonomous Unmanned Aerial Vehicle with Moving-Object Detection and Face Recognition" (6 citations), advancing UAV autonomy through combined motion detection and biometric recognition. These contributions demonstrate Bold’s impact in bridging hardware acceleration and real-time vision for robotics, with applications in surveillance, automation, and human-robot interaction. His research is particularly valuable for students and engineers seeking efficient, embedded solutions for autonomous systems.