Building a real time license plate matching service

This talk covers strategies applied in bringing a real-time license plate matching service into production. Based on the project requirements, we discuss the chosen ML model architecture and training procedure, implemented software architecture components, as well as tools and infrastructure for the deployment. Particular focus will be on the deployed microservices architecture and model serving using NVIDIA Triton.