Xls-based face library management method

Abstract

The invention provides an Xls-based face library management method, which comprises a method for exporting a face base map and a method for importing the face base map. The method for exporting the face base map is used for exporting a data file storing face base map information from an NVR to a mobile storage device. The method for importing the face base map is used for importing a data file with face base map information into the NVR from the mobile storage device and storing the data file into a database of the NVR. According to the xls-based face library management method, the face base map information in the face library is efficiently managed and maintained, so that the editing workload of a user on the face base map information when the user adds the face base map is greatly reduced, and the management and maintenance cost of the face base map information is improved.

Description

technical field [0001] The invention belongs to the field of artificial intelligence under an embedded platform, and in particular relates to an xls-based face database management method. Background technique [0002] The embedded face NVR (Network Video Recorder) device is a video image structuring technology based on deep learning algorithm, which integrates storage, management, control and intelligent image analysis, and realizes accurate face analysis. Image, including face picture capture, modeling, detection, recognition, retrieval, etc., has become a new generation of artificial intelligence NVR. [0003] The base map in the embedded face NVR face library is the basis of the face recognition algorithm. The traditional method of managing the base map information is that the user creates, edits, Delete, find, import and export operations. However, with the needs of users, the number of face basemaps in the face database is increasing, and some need to add up to 100,00...

AI Technical Summary

Problems solved by technology

However, with the needs of users, the number of face basemaps in the face database is increasing, and some need to add up to 100,000 face basemaps. The problems with this face basemap management method are: 1. Add No additional information can be added to the face base map. Only after the addition is complete, attribute information (name, gender, family name, date of birth, birthplace, certificate type, certificate number, company name and company name) of each face base map can be added in the user interface. Address, etc.) for editing operations, which increases a lot of time cost for user maintenance; 2. Does not support batch modification of face attribute information: when the face base map information in the face database needs to unify the same type of information When modifying, it is necessary to edit each relevant base map, which is a heavy workload and very low efficiency; 3. It does not support the reuse of face attribute information: the face base in each face NVR device Any changes in the graph attribute information require editing operations

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