Design method of distributed face basic information intermediate library service compatible with multiple algorithms
A basic information and design method technology, applied in the field of face basic information intermediate library service, can solve the problem that the face basic information intermediate library service does not have a mature solution, etc., to meet high concurrent data requests and large data volumes the effect of management
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Embodiment 1
[0058] This embodiment describes step S11 in detail, which specifically includes the following steps:
[0059] S111: Create a personnel information database, a personnel photo database and a face feature value database. The personnel information database is used to store the structured basic information of personnel, including the personnel global unique number, name, ID card, gender, personnel photo path, and personnel label . The personnel photo database stores the binary data of personnel photos on the picture server, and the facial feature value database stores the facial feature data extracted by the feature extraction system;
[0060] S112: importing the personnel basic information data and photos into the corresponding database and picture server respectively;
[0061] Among them, step S111 specifically needs to create a face information database and a related table structure (MYSQL database). In addition, the photo database is stored by a file server, and the correspo...
Embodiment 2
[0063] combine figure 2 , 3, 5, present embodiment describes in detail S12, another method of S13, S14, it comprises the following steps:
[0064] S121: Real-time monitoring of data changes in the personnel information database, including changes in personnel structured data and personnel photos;
[0065] S122: Push the changed personnel data (referring to the URL address of the personnel photo) to the feature extraction system for feature extraction operation;
[0066] S131: Receive in real time the personnel feature information pushed by the feature extraction system through the callback interface service, and perform data verification;
[0067] S132: Store the received personnel feature data in the feature value intermediate library, and update the feature extraction task status, including normal, face detection failure, picture download failure and other errors;
[0068] S141: After the feature callback service interface is operated, the received face feature data will ...
Embodiment 3
[0072] combine Figure 6 , another method of S15 is described in detail in this embodiment, which includes the following steps:
[0073] S151: To obtain detailed information and photos of personnel, the face recognition system first needs to call the authentication interface of the security API service, and pass in the application identification and application key provided in advance for authentication;
[0074] S152: Get the token value returned by the authentication, and pass in the person's global unique number and related parameters of the person's characteristic data obtained by the face recognition system;
[0075] S153: After entering the security API interface service, the server will verify the authority of the caller, record the log, and add a series of security operations to the photo watermark;
[0076] S154: finally return the detailed personnel basic information and photo information;
[0077] combine Figure 7 , each face recognition manufacturer wants to ob...
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