Design of intelligent campus management system driven by artificial intelligence

Insufficient Informatization, low function utilization, performance limitation, data management and data security limit the application of the intelligent campus management system. To meet these challenges, this paper has developed a new system using artificial intelligence in which the overall design framework, hardware configuration, software programming,network topology, and implantation of AI functions are discussed.Following several testing rounds, the new system has developed immensely in its features,performance and security. The average response time under 5000 concurrent users is 2.168 seconds, serving 3180 requests per second and the CPU usage is not higher than 72.3% and memory stays under 58.7%. In a 24-hour stress test, the system achieved an availability rate of up to 99.97%, and performance was 4.7 times faster for response times and 6.2 times for processing compared to traditional systems. The facial recognition module achieves accuracy rate of 99.12% in uncomplicated condition, and keeps the accuracy rate associate with the one in low light conditions at 97.34%, exhibiting rather high robustness for pose variation and partially blocked faces, and the robustness has increased by 18.7%.