Core Viewpoint - The precision manufacturing industry is highly suitable for AI transformation, especially in the context of advanced manufacturing and quality control [1]. Group 1: AI Integration in Precision Manufacturing - A laser welding online detection system showcased at the International Supply Chain Expo demonstrated a 50% reduction in "overkill" rates through AI-based deep learning detection models, significantly enhancing detection accuracy and production efficiency [2]. - The system, developed by Guangzhou Deqing Optical Technology, integrates proprietary AI and optoelectronic detection technologies, including AI parameter adjustment, AI overkill reduction, and AI fault diagnosis, and is already in use by leading international consumer electronics clients [3]. Group 2: Challenges in Traditional Detection Methods - Traditional optical detection methods rely on comparing current welding signals with established benchmarks, which can lead to misclassification of acceptable products as defective due to reliance on human experience [7]. - The limitations of traditional methods necessitate the adoption of advanced AI techniques to improve detection accuracy and efficiency [8]. Group 3: Advancements in AI Detection Algorithms - Deqing Optical has developed an end-to-end deep learning model to enhance defect detection accuracy, utilizing a high-quality dataset generated from real production line data [8][9]. - The AI model incorporates various algorithm structures, including CNN, RNN, RF, and SVM, and has been validated through multiple training rounds to ensure its effectiveness in real-world applications [9]. Group 4: Future Developments and Applications - The AI integration in laser welding detection will expand to include additional functionalities such as AI physical parameter regression and defect classification, enabling comprehensive monitoring across all stages of the welding process [11]. - Deqing Optical aims to enhance the performance of AI detection systems and implement digital twin technology for real-time optimization of process parameters, with over 5,000 devices currently operational globally [12].