Activity track recording system based on face recognition

[0067] The present invention provides an activity track recording system based on face recognition, such as figure 1 shown, including:

[0068] The scanning module is used for face scanning and identification of users in the target area;

[0069] A determining module, configured to determine the identity information of the user according to the face scanning recognition result, and determine the tracking and recording mode of the user according to the identity information and the area structure of the target area;

[0070] The tracking module is configured to track and record the user according to the tracking and recording manner, and obtain the user's activity track.

[0071] In this embodiment, the regional structure refers to the architectural planning of the target area, and the tracking and recording methods can include several different monitoring methods, such as: satellite positioning monitoring, sensor positioning monitoring, wireless positioning monitoring, etc. I...

[0075] Based on the basis of embodiment 1, such as image 3 As shown, the scanning module includes:

[0076] Establishing a unit for obtaining the face profile of the user in the target area, and establishing a face profile structure;

[0077] A filling unit, configured to scan the face area of ​​the user, and segment the face area based on the scanning result, and fill it into the face contour structure;

[0078] A synthesis unit, configured to obtain the user face of the user based on the filling result;

[0079] The recognition unit is configured to recognize the user's face based on a preset face recognition model related to the face contour structure, and obtain a face scanning recognition result.

[0080] In this embodiment, the contour of the face may refer to the peripheral contour of the face, and the contour structure of the face may refer to the peripheral contour structure.

[0081] In this embodiment, the human face area refers to the remaining area of ​​the us...

[0085] On the basis of Embodiment 2, the recognition unit is further configured to extract the contour special points of the human face contour structure, and filter the first recognition set from a preset database according to the contour special points;

[0086] The recognition unit is also used to obtain the main feature branch and the secondary feature branch of each first recognition result in the first recognition set, and then train to obtain a preset face recognition model;

[0087] Wherein, all recognition sets in the preset database are differentiated and stored according to the contour structure of human faces.

[0088] In this embodiment, for example, there are special points A and B on the contour structure of the human face. At this time, according to the special points A and B, the first recognition set about A and B is screened from the preset database, and the preset It is assumed that in the database, there are several recognition sets including different spe...