Railway Passengers Unconscious Outbound Key Technology And Application Scheme Research

Under the railway outbound scene,in the condition of a large number of outbound passengers,there are problems such as crowded channels and slow outbound speed,which directly affect passengers' outbound experience.Considering that face recognition technology has been widely used in railways,for example real-name verification gates,integrated inspection gates and manual verification windows all use face recognition technology.This paper studies the application system of railway unconscious outbound,and uses intelligent new technologies such as face recognition to solve the traditional railway transportation problems of passenger outbound.First,it introduces the exploration and research of the key technologies of face recognition in the system,including the selection of face recognition as checking method through comparative analysis of multiple biometric technologies,face recognition algorithm and algorithm service engine.The face recognition algorithm has achieved independent development include face detection,recognition,living body detection and other technologies;The algorithm service engine adopts high-performance servers and optimized software structures to achieve stable and reliable service capabilities.Then it introduces the overall design of the railway unconscious outbound application system from four aspects,including technology selection,unconscious outbound process mode design,overall system design and data security protection,and clearly focuses on edge computing,distributed and micro-services architectural approach.Three unconscious outbound modes including gate mode,AI camera mode and gate + AI camera mode are designed to form the overall design of the unconscious outbound application.In addition,due to the current society's emphasis on the privacy of citizens,this article emphatically introduce data protection.Finally,in order to verify the feasibility of railway unconscious outbound application,this paper conducts experiments in laboratory environment,including algorithm test stage and unconscious outbound mode simulation test.The algorithm test is to test the effect of the self-developed algorithm on the railway real-name verification data set.The unconscious outbound mode test is to verify the feasibility of multiple unconscious outbound modes.The algorithm test results are basically in line withexpectations,but the effect of unconscious outbound mode test is not ideal,this also clarified the importance of speeding up the station field test work in the next step.