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Design Of Dual-mode Laboratory Access Control System Based On ARM

Posted on:2020-11-15Degree:MasterType:Thesis
Country:ChinaCandidate:M Y LiFull Text:PDF
GTID:2438330575960137Subject:IC Engineering
Abstract/Summary:PDF Full Text Request
Access control system gradually beyond the doorways and key management,has developed into an indispensable security equipment.In view of the specific application scenarios of the school chemistry laboratory,students frequently enter and exit the laboratory,the laboratory stores dangerous chemical products.Therefore,considering the convenience and security,this paper designs a dual-mode access control system by using voice recognition and face recognition technology.Based on the PC,this paper designs the software for the hardware driver,the management center login,password modification,SMS alarm interfaces,and designs an independent password for each face image matching.The hardware of this system USES STM32 F407ZG76 as the main control chip,and LD3320 as the recognition chip of peripheral voice recognition module,and equipped with GSM alarm module to build the hardware platform of the whole access control system.The face recognition algorithm USES the median filter to remove the noise,cuts out the size of the face through the eye location,preliminarily estimates the face area,and combines the normalization processing of the sparse learning algorithm.The image feature extraction based on the wavelet transform PCA algorithm completes the face recognition.ASR algorithm is adopted in speech recognition to improve the design of specific noisy scenes in the laboratory as follows: the register of endpoint detection(VAD)is modified,and then the first-level password trigger and second-level secret order recognition mode are used to reduce the recognition error rate.Finally,the whole access control system was tested,and the application of the laboratory scene effectively improved the convenience and security.
Keywords/Search Tags:Access control system, Face recognition, Speech recognition, PCA, ASR
PDF Full Text Request
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