Matthew Pietrzykowski, Principal Data Scientist at Wabtec, presents the “Edge AI Optimization on Rails—Literally” tutorial at the May 2024 Embedded Vision Summit.
In this talk, Pietrzykowski shares highlights from his company’s adventures developing computer vision solutions for the rail transportation industry. He begins with an introduction to the types of machine perception problems encountered in this unique industry. He then shares insights gained during his company’s implementation of a perception system for rail auditing.
In particular, Pietrzykowski discusses the challenges faced in implementing multiple optimized CNNs in a constrained compute system, and how his company addressed these challenges. He also explains trade-offs associated with using classical homographic techniques in combination with neural networks.
See here for a PDF of the slides.
