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Design of the Customer Conting System Based on Infrarred Sensors

Author: LiChao
Tutor: WangShuHai
School: Hebei University of Science and Technology
Course: Measuring Technology and Instruments
Keywords: Infrared Counting system Data acquisition Pretreatment Segmentation
CLC: TP212.1
Type: Master's thesis
Year: 2010
Downloads: 169
Quote: 1
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Abstract


China has become a member of the WTO in 2001 . With the continuous improvement of people's living standard , more and more domestic and international, large shopping malls have emerged . Shopping centers with its low prices and numerous goods , attracting a large number of customers . In the increasingly fierce competition , \Associated with the development of information technology , the importance of passenger information in business competition is becoming increasingly prominent. As traffic decided mall effective , but it is also the basis for the mall operators to develop business strategy , so build a passenger as the core , to contact other intelligent passenger information to conduct a comprehensive analysis of the statistical system has become the mall to improve competitiveness effective way. The main application of infrared sensor technology , passenger counting system based on radial basis function (RBF) neural network is constructed . And compared to the early use of the photoelectric sensor count method , this method can greatly improve the accuracy of real-time passenger count . And the characteristics of each acquisition sequence of continuous space-time passenger data , greatly improves the existing segmentation methods and extraction method for passenger flow characteristics of the actual situation . Finally , through intensive and sparse passenger flow simulation prove that the model established in this article not only be able to identify more than side-by-side , and the error is small , the great theoretical and practical significance . The system through four pairs installed in the mall door on both sides of the ankle highly active infrared beam photoelectric sensor on passenger data acquisition . The acquisition system involving radial basis function neural network classification and feature extraction methods are two key points . This method not only can effectively reduce the noise in the data which , but also be able to solve a customer small spacing . The system has the accuracy of intelligence and robustness . The experimental test results are listed at the end . Experimental results show that the acquisition system of the present passenger traffic statistics , is very effective .

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation components,parts > Transmitter ( converter),the sensor > Physical sensors
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