Identity recognition success rate improvement method, intelligent door lock, entrance machine and server

Abstract

The invention discloses an identity recognition success rate improvement method, an intelligent door lock, an entrance machine and a server and belongs to the field of intelligent door locks. When themethod is applied to the intelligent door lock, the method comprises the following steps: receiving user identity information; adjusting and reducing a pre-set false rejection rate. When the method is applied to the entrance machine or the server, the method comprises the following steps: judging whether received first identity information is a user of a present unit or not; if so, acquiring thecorresponding user identity information according to the first identity information, sending the user identity information. According to the embodiment of the invention, the entrance machine is combined to dynamically adjust and reduce the false rejection rate of the intelligent door lock when the user reaches home and needs to open the intelligent door lock, so that the contradiction between thefeasibility and safety of the intelligent door lock of a biological identification system is effectively solved; when the safety is ensured, the feasibility is also very high and the unlocking experience of the user is improved.

Description

technical field [0001] The invention relates to the technical field of intelligent door locks, in particular to a method for improving the success rate of identity recognition, an intelligent door lock, a door machine and a server. Background technique [0002] With the popularization of technology and the development of smart homes, more and more people have begun to choose smart door locks. [0003] At present, with the development of biometric identification technology, the technology of applying biometric identification technologies such as fingerprints and iris to smart door locks is becoming more and more mature. However, because the computer only involves some limited information of the biometrics when processing the biometrics (eg, fingerprints, irises), and the comparison algorithm is not an exact match, the result cannot be guaranteed to be 100% accurate. An important measure for a specific application of a biometric system is the recognition rate. It mainly cons...

AI Technical Summary

Problems solved by technology

[0004] The smart door lock using the biometric system is related to the personal and property safety of the user, so the misjudgment rate is set to be very low, resulting in a relatively high rejection rate

However, due to individual differences or environmental influences, biometric features are prone to be indistinct or have attachments such as water and dust, resulting in a sharp increase in the rejection rate and affecting user experience.

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