Tae-Ho Kim, Co-founder and CTO of Nota AI, presents the “Optimized Vision Language Models for Intelligent Transportation System Applications” tutorial at the May 2024 Embedded Vision Summit.
In the rapidly evolving landscape of intelligent transportation systems (ITSs), the demand for efficient and reliable solutions has never been greater. In this presentation, Kim shows how an innovative approach—optimized vision language models—can dramatically enhance the accuracy and robustness of computer vision solutions for ITSs.
Kim also illustrates how optimized vision language models can be implemented in real time at the edge, enabling intelligent decision-making for applications such as traffic management, vehicle recognition and pedestrian safety. Finally, he explains how Nota AI is utilizing optimized vision language models to revolutionize numerous ITS applications, leading to safer, more efficient and environmentally friendly transportation systems.
See here for a PDF of the slides.
