Artificially Intelligent Computer Vision

Join us as Dan Brogan (EGR-MCE '20) discusses "Deep Learning Object Detection for Robotic Disassembly and Servicing Applications" (Brogan, D., DiFilippo, N., Jouaneh, M.) [https://doi.org/10.1016/j.array.2021.100094]. Research published using URI AI Lab resources and support from the RI NASA Space Grant Consortium.

There are many applications which benefit from having a robust computer vision system to localize and classify objects. Many of these applications, such as drone inspection, defect detection, and self-driving cars, require high performance in highly variable conditions. Deep learning provides a solution to object detection capable of generalizing to different lighting conditions, camera angles, distances, and other factors that are not always predictable. This meetup will discuss the work published by Dan Brogan, Dr. Nicholas DiFilippo, and Dr. Musa Jouaneh, using URI’s AI Lab resources and support from the RI NASA Space Grant Consortium to optimize a deep learning object detection system for the application of robotic disassembly.

Speaker Bio:
Dan Brogan received his BS in Mechanical Engineering from URI in 2020 and received his MS in Astronautical Engineering from the University of Southern California (USC) in 2021. He is now an Adjunct Professor of Physics at Roger Williams University. Dan is a former student employee of URI’s AI Lab, where his exposure to AI and computer science began.