Application of Computer Intelligent Algorithm in Personnel and Vehicle Detection in the Construction Tunnel

In today's booming transportation infrastructure, the number of construction tunnels is increasing, but its complex and harsh construction environment brings great challenges to personnel and vehicle detection. Traditional detection methods have many disadvantages, low efficiency of manual inspection, high risk, and the monitoring accuracy of conventional equipment is insufficient. In view of this, this research focuses on the application of computer intelligent algorithm in this field, through improving the convolutional neural network optimization algorithm, fusion of multi-source data, and carefully build an integrated intelligent detection system. After the actual tunnel project, this system has significant advantages in detection accuracy, efficiency and early warning timeliness, which greatly improves the level of construction safety management, and accumulates valuable experience for the development of the industry, which is expected to promote the innovation of tunnel construction detection technology.