VNPT leveraged NVIDIA Metropolis to enhance traffic monitoring by processing video feeds from cameras at bustling city intersections. Utilizing NVIDIA AI Enterprise, the team trained AI models with pretrained frameworks and integrated DeepStream to detect and classify vehicles and pedestrians. The deployment utilized edge computing with NVIDIA Jetson™ and GPUs like T4 and A30, facilitating traffic signal interpretation and incident prediction based on movement patterns. Despite initial performance challenges with the DeepStream SDK, VNPT benefited from NVIDIA Enterprise Support, effectively resolving issues and optimizing their AI training system. This collaboration significantly improved the efficiency of their AI services. According to CEO Nguyen Tien Cuong, “NVIDIA AI Enterprise, including DeepStream, has been vital in demonstrating AI’s potential to solve real-world problems and enhance urban living.” CTO Cao Thanh Ha emphasized the valuable assistance from NVIDIA experts in refining their infrastructure and AI models, further underscoring the critical role of AI in urban development.
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