AI Vision in 5G era: Revolutionizing Smart City Solutions and Business Applications

This workshop will delve into the transformative potential of Vision-language model (VLMs) and Large Language Models (LLMs) in advancing computer vision (CV) applications for business innovation and sustainable smart cities. As cities and industries increasingly adopt AI-driven solutions, the integration of VLMs, LLMs with CV enables systems to move beyond basic object detection to contextual understanding, natural language interaction, and adaptive decision-making. Attendees will learn how VLMs overcome limitations of traditional CV, such as handling ambiguous scenarios and reducing reliance on labeled training data, while enabling applications like real-time anomaly detection, automated visual analytics, and edge-optimized deployments. The workshop will feature case studies highlighting use cases in retail, security, urban planning, and resource management, demonstrating how VLMs and LLMs enhance operational efficiency and data-driven insights. Challenges such as computational costs, privacy concerns, and integration with IoT/5G infrastructure will also be addressed, alongside emerging solutions like federated learning and edge AI frameworks. This session aims to bridge technical expertise and practical implementation strategies for stakeholders aiming to harness multimodal AI in next-generation smart ecosystems.