| With the progress of society and the development of information technology,residents have higher and higher demands on the community access control system.The traditional authentication methods of access control systems include passwords and card swiping.Although they are convenient for users to a great extent,these verification methods are separable from users,and have low security and easy loss.Therefore,some defects are exposed.According to the needs of modern intelligent community access control system,the thesis designs and implements an intelligent community access control system,which is applied to pedestrians and vehicles at the entrance of the community.The solution of this intelligent community access control system is as follows: NVIDIA Jetson Nano platform is used to connect to the local service platform through TCP / IP network protocol,and Qt Designer is used to build an administrator system interface.End management user information stored in the database.In order to ensure the accuracy of system identification,the paper uses deep learning YOLOv3 algorithm and convolutional neural network to detect and identify target images.The access control system is mainly composed of three parts: video monitoring module,access control module and management monitoring platform.The video surveillance module consists of an industrial camera and a Jetson Nano platform that can run deep learning algorithms,and is responsible for image acquisition and processing.The access control module receives the platform signal to control the electromagnetic lock access control switch.The administrator monitoring platform is built using Qt Designer,which can view the monitoring of pedestrians and vehicles,travel records and resident information on the PC side in real time,and can update the database at any time.The local service platform selects SQL Server2008 as the data carrier,which is responsible for real-time information exchange and data storage.The thesis tests the access control system under different external light environments.The test results show that the intelligent community access control system designed and implemented by the thesis can meet the security and real-time requirements of the access control system,and has good practical application value and development prospects. |
