Network equipment fingerprint feature recognition method based on machine learning

Abstract

The invention discloses a network equipment fingerprint feature recognition method based on machine learning. A controller and a fingerprint recognition equipment main body cover are included; the controller is provided with a processing chip, and the first display screen and the control button are arranged on the controller and are in communication connection with the processing chip. A pluralityof fingerprint collection areas used for collecting fingerprint information are arranged on the side, close to the controller, of the fingerprint recognition equipment main body cover, the collectionbutton is arranged on the fingerprint recognition equipment main body cover in a sliding mode, and the annular lamp is arranged on the fingerprint recognition equipment main body cover and abuts against the collection button; the negative electrode fixing plate is arranged on the fingerprint identification equipment main body cover, the first spring is located on the fingerprint identification equipment main body cover and abuts against the collection button and the negative electrode fixing plate, and the second spring is arranged on the conductive column and located in the first spring. Thesituation that normal learning cannot be performed due to loss or forgetting to carry is effectively prevented, the fingerprint information of the user is collected in multiple directions, scanning is more in place, and the situation that scanning cannot be performed due to injury is effectively prevented.

Description

technical field [0001] The invention relates to the technical field of fingerprint feature recognition, in particular to a machine learning-based fingerprint feature recognition method for network equipment. Background technique [0002] At present, with the continuous development of science and technology, intelligence is becoming more and more popular, and more and more smart devices and network devices are applied to learning, such as the smart access control of the library. Students can use the campus card to swipe the card and enter the library. Reading or participating in self-study, you can also borrow books and go back to the dormitory for reading by swiping your card. Compared with the original method of librarian registration, it is more convenient and saves trouble, and improves work efficiency; Effectively prevent non-campus personnel from entering and using the computer; second, it can prevent users from wasting resources such as starting up at will and not shut...

AI Technical Summary

Problems solved by technology

[0008] In order to solve the technical problems in the background technology, the present invention proposes a machine learning-based network device fingerprint feature recognition method, which can effectively prevent the failure of normal learning due to loss or forgetting to carry it, and collect user fingerprint information in multiple directions at the same time. The scanning is more in place and the effect is better, effectively preventing the situation that a certain thumbprint cannot support scanning due to user injury

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