Intelligent Defect Detection System Based on Cloud-edge Synergy Technology

With the rapid development of industrial production, defect detection has become increasingly important across various fields. However, traditional defect detection methods suffer from issues such as low efficiency, high costs, and lack of real-time capabilities. To address these problems, this paper proposes an intelligent defect detection system based on cloud-edge synergy. This system leverages the advantages of cloud computing and edge computing to achieve efficient, cost-effective, and real-time defect detection. Specifically, the system first trains models on cloud servers and then distributes the trained models to edge nodes for real-time defect detection. By utilizing cloud-edge synergy, the system can fully optimize the computing power of edge computing and the storage capacity of cloud computing, thereby enhancing the overall performance. Through experiments, this paper demonstrates the superior performance of the system in different domains through experiments and provides a detailed performance evaluation.