基于人脸识别的立体车库-软件设计

Stereo garage-software design based on face recognitionAbstractThere are two difficulties in parking,one is the shortage of parking space,the other is thelag of management.Most of the garages in our country are based on manual management.Thelack of good automatic management system will lead to low efficiency of the entrance and exit,which is very easy to cause congestion.In addition,the environment of the parking lot isrelatively poor,which makes it difficult for managers to stay for a long time,and at the sametime,it also makes it difficult for owners to find cars in the opposite direction.In view of the above problems,this paper plans to design an intelligent garagemanagement system based on face recognition technology,and use face recognition technologyto realize the automatic management of parking and picking up.The software part of the systemadopts B/S architecture,the server uses Python as the main programming language andmongodb database,and the client uses wechat small programs to provide customers with use.The system adopts the "self allocation principle"of parking spaces,uses the hog facerecognition algorithm to improve the accuracy of recognition,and uses the pressure sensor todetect the empty parking spaces combined with the face information of customers to allocateparking spaces,so as to fundamentally improve the utilization rate of parking spaces.Keywords:Python;Mongodb database;Intelligent garage;HOG face recognitionalgorithm;Wechat Mini Program