Osian Haines
About Osian Haines
Osian Haines is a Computer Vision Engineer with extensive experience in the field, having worked at Kudan for eight years and currently at Scandit. He holds a PhD in Computer Vision from the University of Bristol and has also served as a Research Assistant at the same institution.
Current Role at Scandit
Osian Haines currently works as a Computer Vision Engineer at Scandit, a position he has held since 2023. In this role, he applies his expertise in computer vision to develop innovative solutions that enhance the company's offerings in mobile data capture and augmented reality. His experience in the field positions him to contribute effectively to Scandit's projects.
Previous Experience at Kudan
Prior to joining Scandit, Osian Haines worked at Kudan as a Computer Vision Engineer for eight years, from 2015 to 2023. During his tenure at Kudan, he focused on advancing computer vision technologies and contributed to various projects that aimed to improve visual recognition systems. His work in Bristol helped establish Kudan as a notable player in the computer vision industry.
Academic Background and Research
Osian Haines earned his Doctor of Philosophy (PhD) in Computer Vision from the University of Bristol, where he studied from 2008 to 2013. His research during this period contributed to the understanding and development of computer vision methodologies. Before his PhD, he completed his undergraduate studies in Computer Science with Vision and Graphics at Cardiff University from 2005 to 2008.
Research Assistant Role
Osian Haines served as a Research Assistant at the University of Bristol from 2013 to 2015. In this role, he supported various research projects, applying his knowledge in computer vision to assist in academic inquiries and practical applications. His experience as a Research Assistant provided him with valuable insights into the academic research process.
PhD Student Experience
During his time at the University of Bristol from 2008 to 2013, Osian Haines was a PhD student focused on computer vision. This experience allowed him to deepen his knowledge in the field and engage in significant research that would inform his later professional work. His academic journey laid the groundwork for his career in computer vision engineering.