Research And Application Of Personnel Location Management System In Logistics Park Based On Artificial Intelligence

Logistics is the blood vessel of the social economic system,and its importance to economic development is self-evident.This article focuses on the low level of informatization and intelligence in the current large-scale logistics parks.The lack of necessary location information of the staff leads to low operational efficiency and the inability to effectively manage employees,which may lead to safety hazards.It is proposed to establish an accurate,efficient and practical personnel positioning system in a large logistics park.Traditional personnel positioning mainly uses identity verification equipment,such as common employee cards(IC cards,ID cards,etc.),but they are poor in confidentiality,reproducible,and strong in theft,making precise positioning impossible.With the advancement of intelligent logistics by national policies and the development of current machine vision technology,the use of artificial intelligence technology for personnel positioning has become a feasible solution.By deploying a certain number of cameras in each functional area of the logistics park,personnel positioning can be completed with the help of face recognition technology and camera numbers.In the true sense,intelligent analysis can be done 24 hours a day.This paper uses a personnel location management system to solve the problems of low operational efficiency caused by lack of personnel location information in logistics parks and potential safety hazards due to the inability to effectively manage employees.Through demand analysis of the system,the functions that the system should contain are clarified,namely,personnel information management,personnel positioning management,track query,and safety management.Clarify the overall architecture and logical architecture of the system through system design,and determine whether the system meets the actual scenario requirements through system implementation and system testing.The personnel location management module is the core function of this system,and the core technology adopted by this module is face recognition.First,go to the site for onsite assessment,collect a large number of on-site staff working data,enhance and standardize the data,use image annotation software for annotation,and make a training set.After repeated optimization,an optimal face detection model is obtained.Secondly,feature extraction is performed on the basis of face detection.This paper selects 128 feature points of the face as the object of feature extraction,and converts the extracted feature points into128-dimensional feature vectors.Finally,the converted feature vector is calculated for distance.In this step,to improve the accuracy of face recognition,the KNN algorithm is used to calculate the distance between vectors.The algorithm has achieved good results after testing.This technology also provides technical support for track query and safety management.The system in this paper also needs a lot of practical tests,through continuous optimization and upgrading,so as to better adapt to the needs of the logistics park operating environment.