Jackson L. Osborne-Coy (right) with Dr. Shahin Mehdipour Ataee.
A Physics/Industrial Management student and Computer Science faculty jointly developed a system to detect frames in video streams.
Jackson L. Osborne-Coy, of Fredonia, NY, and Assistant Professor Shahin Mehdipour Ataee developed an efficient embedded system designed to identify semi-similar frames in video streams captured by low-cost Raspberry Pi computers.
Mr. Osborne-Coy created a Python-based application and hardware setup that automates the entire process. The system efficiently calculates the Structural Similarity Index Measure (SSIM) in real time, identifying frames in a video stream that closely resemble 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, video stream comparison and more,” Mehdipour Ataee said.
Osborne-Coy, who has majors in Physics and Industrial Management and a minor in Data Science, will present both a poster and a live demonstration of the project at the 12th annual SUNY Undergraduate Research Conference at Binghamton University on Monday, April 28.
The conference will bring together students and faculty mentors from across the SUNY system for a full day of activities, including student presentations, a graduate school and career fair, professional development workshops and a keynote address by SUNY Chancellor John B. King Jr.
