Sehoon Yoo
About Sehoon Yoo
Sehoon Yoo is an FPGA and Embedded System Developer with expertise in image processing and system automation. He has contributed to the development of the SLS-1000 system, enhancing safety and performance in embedded applications.
Work at Intelcom
Sehoon Yoo has been employed at DILAX Intelcom as an FPGA & Embedded System Developer since 2021. In this role, he has contributed to the development of advanced systems, including the SLS-1000, a structural light-based stereo vision sensor system. His work focuses on enhancing the safety and reliability of these systems through the development of FPGA IP for laser safety and temperature control. Yoo's position requires on-site presence in Germany, where he has been actively involved in various projects for three years.
Education and Expertise
Sehoon Yoo pursued his education at the University of Seoul, where he studied Electrical and Computer Engineering. His academic journey spanned from 2002 to 2014, culminating in a Bachelor’s degree, followed by a Master’s and PhD. This extensive educational background has equipped him with a strong foundation in electrical and computer engineering principles, particularly in FPGA design and embedded systems.
Background
Sehoon Yoo has a solid background in FPGA IP design, particularly for image processing and depth disparity generation. His expertise is crucial for developing advanced vision sensor systems. He has also enhanced image quality to improve input data acquisition, which optimizes neural network performance in embedded systems. His technical skills include proficiency in Python and Bash scripting, which he utilizes to automate tasks and improve development efficiency.
Achievements
Yoo has made significant contributions to the SLS-1000 system, focusing on passenger counting and object detection. His work in developing FPGA IP for laser safety and temperature control has enhanced the overall safety and reliability of the system. Additionally, his efforts in optimizing neural network performance through improved image quality have further advanced the capabilities of embedded systems.