Optimization of real-time industrial vision inspection system for intelligent manufacturing

Industrial vision inspection systems in intelligent manufacturing face challenges in balancing real-time performance and accuracy. Our proposed optimization scheme, based on hierarchical architecture and heterogeneous computing, reduces detection delay to 32.7ms while achieving 96.2% accuracy through improved feature extraction and lightweight detection networks. In electronic manufacturing applications, the system inspects 1850 pieces/hour and increases product yield from 92.3% to 97.8%. This demonstrates the scheme's practical value in providing reliable visual inspection for intelligent manufacturing.