A cloud-edge-device collaborative architecture for multimodal LLM-based intelligent apron visual surveillance system
Intelligent apron visual surveillance requires both high inference accuracy and strict real-time performance. However, directly deploying multimodal large language models (MLLMs) in airport apron scenarios introduces significant challenges in latency, energy consumption, and computational resource allocation. To addres...