基于工业大模型、Agent构建电子产品工业AI智能装备解决方案，每年节省百万级资源损耗

Core Insights - The consumer electronics industry is facing multiple structural challenges, including talent shortages, quality control difficulties, and limitations of traditional machine vision solutions [1] Group 1: Industry Challenges - There is a significant demand for quality inspection engineers due to rising technical barriers, but competition for skilled labor is leading to a shortage of quality workforce [1] - The complexity of defects in consumer electronics products presents challenges in quality control, as manual inspection is prone to systemic errors and cannot keep pace with high production demands [1] - Traditional machine vision solutions are limited by their algorithmic generalization capabilities, making them costly to adapt to diverse product types and defects, which hinders flexible production [1] Group 2: Proposed Solutions - The solution focuses on appearance quality inspection of electronic devices and components, utilizing an industrial large model and intelligent agent technology to create a comprehensive defect detection ecosystem [2] - IndustryGPT, the world's first industrial multimodal large model, serves as a generative AI engine for industrial applications, integrating throughout the entire process from data labeling to model training and deployment [2] - The SMore ViMo intelligent industrial platform offers a full-stack intelligent capability for industrial manufacturing, supporting seamless transitions from data management to deployment [3] Group 3: Implementation and Results - The five-axis AI-AOI integrated device enables AI-driven defect detection for various electronic products, significantly improving detection accuracy and efficiency [3] - The solution can detect over 16 types of defects simultaneously, with a false rejection rate below 5% and a defect detection time of only 2 seconds per item [4] - The algorithm model supports different product types, reducing costs and enhancing overall efficiency, potentially saving manufacturers millions in resource waste annually [5]