Intelligent lock abnormity alarm system based on deep learning

• Main Authors: ZOU YANG, CHEN GAOYONG
• Format: Patent
• Language: Chinese; English
• Published: 06.04.2021
• Subjects: ACCESSORIES THEREFOR; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDEDFOR ELSEWHERE; CHECKING-DEVICES; FIXED CONSTRUCTIONS; GENERATING RANDOM NUMBERS; HANDCUFFS; KEYS; LOCKS; PHYSICS; REGISTERING OR INDICATING THE WORKING OF MACHINES; SAFES; TIME OR ATTENDANCE REGISTERS; VOTING OR LOTTERY APPARATUS; WINDOW OR DOOR FITTINGS

The invention discloses an intelligent lock abnormity alarm system based on deep learning. The system comprises an intelligent lock and a monitoring terminal, and is characterized in that the intelligent lock comprises a microprocessor, a data storage module, a lock state detection module, an identity verification module, a control module, a motor, a lock cylinder module and a communication module; the monitoring terminal comprises an information storage module, a transceiver module, a deep learning module, a central controller and an alarm module. According to the intelligent lock abnormity alarm system based on deep learning, through contact interaction between the intelligent lock and the monitoring terminal, the purpose of remote monitoring is achieved, information such as the on-off state and the on-off time of the intelligent lock can be recorded and monitored in real time, an alarm can be given in time when abnormity occurs, and the safety of the intelligent lock can be improved. 本发明公开了一种基于深度学习的智能锁异常报警