Radial base neural net-based infrared photoelectric passenger flow collecting device and method

Abstract

The invention relates to an infrared photoelectric flow collecting device and the method based on a radial-basis function neural network, combining the infrared photoelectric detecting technology and the radial-basis function neural networks to build a flow number system based on the RBF neural networks which is used for the flow collecting in public place. Four groups of the Opposite-type Photoelectric Sensor are arranged at the gateway of the market and at the position equaling to the height of the ankle, connecting with a computer through a switch interface card, and recording a variational signal generated by the customers' sheltering the sensors in a base address in the computer when the customers pass through the infrared sensors district. The data in the base address is stored by adopting an effective data storage structure, a pretreatment, a partition and a characteristic extracting are carried out to the data, the results are regarded as the input of the radial-basis function neural networks, so that the number of customers continuously passing through the infrared sensors district is accurately identified. The method enhances the accuracy of the real-time customer count, and can identify the condition of more people side-by-side, the error rate is low.

Description

technical field [0001] The present invention relates to automatic detection technology, in particular to an infrared photoelectric passenger flow collection device and method based on radial basis neural network, which combines infrared photoelectric detection technology with radial basis neural network algorithm to establish a passenger flow based on RBF neural network Counting system for passenger flow collection in public places. Background technique [0002] Foot traffic data is of great significance to industries that depend on foot traffic. For profit-making industries, the number of passenger flows and residence habits directly determine the formulation of marketing decisions; for non-profit industries, counting the number of passenger flows is equivalent to performing security defense work to ensure the safety of the statistical area. With the continuous development of statistical analysis technology and computer technology, passenger flow statistics have begun to e...

AI Technical Summary

Problems solved by technology

This patent application requires the use of cameras and other equipment in terms of hardware, and the cost is relatively high. In terms of software, only the information of the human head is extracted from the image, and the position, radius, and grayscale information are implemented by the tracking algorithm to judge the movement of passenger flow. direction, this kind of judgment method is highly dependent on the accuracy of the camera and tracking algorithm, it is technically difficult to implement, and it is difficult to achieve a higher resolution

[0005] Feasible passenger flow collection methods require lower equipment costs and the ability to count a large number of continuous passenger flows, but none of the existing passenger flow collection devices and methods can meet the above requirements, and there is no such mature technology at present

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