Gate passing logic algorithm based on LS-SVM

Abstract

The invention discloses a gate passing logic algorithm based on an LS-SVM classification algorithm, which is characterized in that passenger passing detection and a logic relation are researched, and a passing logic algorithm capable of automatically configuring sensors in a region is designed, so that the compatibility of the algorithm is stronger; a gate can enter a learning mode through a hardware or software method, when a passenger authorizes to pass through the gate, signal change of a passing sensor at this time is recorded, the signal change is converted into a sample sequence, and original data is preprocessed through a principal component analysis (PCA) method; data samples of a sensor are trained and classified through an LS-SVM model algorithm, normal passing samples are added into a credible list, abnormal passing is used as an alarm, a gate machine can be better suitable for various combined working conditions, the defect of incomplete functions or logic judgment defects caused by insufficient data samples after leaving a factory is effectively overcome, and the passing state of passengers in the channel can be identified more accurately.

Description

technical field [0001] The invention mainly relates to the field of security (involving a pass gate of an access control system), and relates to the application of sensors and data processing technology. Background technique [0002] The automatic ticket checking system is an automatic ticket checking system integrating computer, electronics, communication technology, automatic control and mechanical manufacturing. It is an important part of urban rail transit and has broad application prospects at home and abroad. Its core components are door blocking mechanism and pass logic algorithm. By analyzing the movement state of human body and other passing objects in the gate, it is identified and judged, so as to control the opening and closing of the gate mechanism. [0003] As a kind of automatic fare checking equipment in the subway automatic fare collection system, the use of gates has greatly improved the station's ability to handle large passenger flows. Under normal cir...

AI Technical Summary

Problems solved by technology

[0005] 1. The logical judgment algorithm is closely related to the position of the sensor, which leads to: when the position of the sensor changes greatly, the general logic algorithm must be adjusted to adapt

[0006] 2. The logical judgment algorithm depends on the sample data of the test. When the test sample data is not comprehensive, the logic will inevitably be imperfect and unable to adapt to the new sample data.

Images