A control method of an intelligent lock system based on edge computing

A technology of edge computing and control methods, applied in computing, computer parts, various biometric identification applications, etc., can solve the problems of high power consumption, increased cost, inappropriate batteries, etc., to achieve less theft and improve accuracy , the effect of reducing CPU performance requirements

Active Publication Date: 2021-07-30
宁波青大智能安防科技有限公司
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Problems solved by technology

[0003] However, the control method of the existing intelligent lock system still has the following technical problems: although the collection, identification and comparison of identity information are all carried out on the intelligent lock, which is conducive to improving real-time performance, it requires the lock to have super computing power and high performance. CPU not only increases the cost, but also consumes a lot of power for a large number of calculations, so it is not suitable for battery-powered locks

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  • A control method of an intelligent lock system based on edge computing
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  • A control method of an intelligent lock system based on edge computing

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Embodiment

[0025] A control method of an intelligent lock system based on edge computing, the method is based on the intelligent lock system, the intelligent lock system includes a cloud platform 1, an edge gateway 2 arranged at each node, and at least one lock 3, the The lock 3 includes a main control module 4, and an identity information collection module 5 and an execution module 6 electrically connected to the main control module 4, the main control module 4 of the lock 3 communicates with the edge gateway 2 of the corresponding node, and each node The edge gateway 2 communicates with the cloud platform 1; the core chip of the main control module 4 can use a 32-bit ARM Cortex M4 with relatively low computing power, the core chip of the edge gateway 2 can use an RKARM9268 core CPU, and the execution module 6 The core device is generally an electromagnet, and the method includes the following steps:

[0026] (1) The cloud platform 1 sends the identity information to the edge gateway 2,...

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Abstract

A control method for an intelligent lock system based on edge computing, characterized in that it includes the following steps: (1) The cloud platform sends identity information to the edge gateway, and the edge gateway stores the identity information sent by the cloud platform and uses it as a follow-up comparison. (2) The actual identity information of the user is collected by the lock, and then the identity information is preprocessed and uploaded to the edge gateway at the corresponding node; (3) The edge gateway uses the corresponding algorithm to process the preprocessed identity information Identify and compare with the reference information stored in step (1); (4) The edge gateway uploads some / all of the intermediate / final data generated in the process of identity information collection, identification, and comparison to the cloud platform for storage and analysis. The control method of the intelligent lock system based on edge computing has the advantages of low lock cost, low power consumption, and good real-time data processing of the entire system.

Description

technical field [0001] The invention relates to the technical field of intelligent lock control, in particular to a control method for an intelligent lock system based on edge computing. Background technique [0002] At present, smart lock systems are usually installed on safes, rental houses and other equipment. The control method of the existing smart lock system is usually that the cloud platform sends identity information to the lock, and the lock stores the issued identity information as a reference for identification. information, and then the lock collects the user's actual identity information and identifies and compares the identity information; the identity information is generally image information such as face, fingerprint, iris, etc., and the identification of these image information usually requires the design of more complex algorithms , such as face recognition, usually using a complex neural network deep learning algorithm, the identified identity informatio...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G07C9/00G06K9/00
CPCG07C9/00571G07C9/00309G07C9/00563G06V40/70
Inventor 李源徐嘉祥付云生
Owner 宁波青大智能安防科技有限公司
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