Jackson L. Osborne-Coy (right) with Dr. Shahin Mehdipour Ataee.
A student in physics / industrial management and computer teachers have jointly developed a system to detect executives in video flows.
Jackson L. Osborne-Coy, from Fredonia, NY, and assistant professor Shahin Mehdipour Ataee have developed an effective integrated system designed to identify semi-similar frames in video flows captured by low-cost Pi computers.
Mr. Osborne-Coy has created an application and equipment configuration based on Python which automates the entire process. The system effectively calculates the measurement of the structural similarity index (SSIM) in real time, identifying the frames in a video flow which closely resembles a selected reference frame.
The work is part of an ongoing research project led by Dr. Ataee.
“There are many real world applications for such a system, including surveillance cameras, quality control systems, a comparison of video flows and even more,” said Mehdipour Ataee.
Osborne-Coy, who has majors in physics and industrial management and minor in data science, will present both a poster and a live demonstration of the project during the 12th annual Suny-first cycle research conference at Binghamton University on Monday, April 28.
The conference will bring together students and mentors of the faculty of the whole Suny system for a full day of activities, including student presentations, a higher school and a career fair, professional development workshops and a speech to open Chancellor Suny John B. King Jr.