A data fusion algorithm based on WIFI detection and face clustering

Abstract

The invention provides a data fusion algorithm based on WIFI detection and face clustering in order to solve the problem of information acquisition and merging of personnel in community management. According to the algorithm, the human faces of people often entering and exiting the community can correspond to the MAC addresses of the mobile phones, and relatively reliable data are provided for community management. Two cameras are installed on the entrance and exit of the community and used for collecting faces of people entering and exiting the community, and a mobile phone MAC address is collected through a WIFI probe. Human faces are captured through a camera and input into a deep convolutional neural network to extract human face characteristics, and human faces entering and exiting acell for a long time are clustered to form a human face track at an acquisition moment. And the mobile phone MAC address detected by the WIFI probe forms an MAC address acquisition time track. And onthe basis of the face track and the MAC address track, the face and MAC address track of which the Frechet distance is smaller than a threshold value are fused by calculating the Frechet distance between every two of the face track and the MAC address track to form fused data. Therefore, the face and the MAC address of the mobile phone are bound, management of personnel entering and exiting the cell is facilitated, and the security of the cell is improved.

Description

technical field [0001] The invention belongs to the fields of data mining, computer vision and security, and involves wireless detection technology, pattern recognition, machine learning and data analysis, etc., uses WIFI to detect mobile phone hardware information, uses cameras to detect and capture human face images, and then based on data analysis and human face The clustering algorithm combines mobile phone information and face images to provide effective data for personnel management. Background technique [0002] With the development of society and the gradual advancement of urbanization, the number of communities has increased sharply. According to preliminary estimates, the number of communities in the country has exceeded 500,000, which has brought enormous pressure to the management of communities. The most important thing in the management of the community is the management of people. The development of cities has brought about a large number of inflows and outfl...

AI Technical Summary

Problems solved by technology

Moreover, the most critical issue is that face access control does not collect the mobile phone WIFI hardware information of people entering and leaving the community in real time.

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