Intelligent Supervision System for Civil Aviation Operational Safety Based on Smart Glasses and Deep Learning

A supervision system for civil aviation operational safety based on 5G and smart glasses is proposed to address the current issues of insufficient personnel, high travel time costs, and economic costs in civil aviation operation safety supervision. Firstly, the operational procedures and work content of civil aviation operation safety intelligent supervision were reviewed, and the core algorithms of the intelligent supervision system were elaborated. A prototype system for civil aviation operation safety intelligent supervision was developed using Python, and the feasibility of the proposed intelligent supervision system construction plan and algorithm was verified through aircraft rivet and anomaly detection and registration number recognition. The results show that the civil aviation operation safety intelligent supervision system has achieved innovation in supervision methods and re-engineering of supervision processes through technological innovations such as 5G and intelligent wearable devices, and constructed a new model that integrates off-site supervision and on-site supervision. The average accuracy of rivets’ anomaly and registration number detection results is as high as 98.49%. The research results provide ideas for improving the efficiency and level of safety supervision in the civil aviation industry.