Can the development of Douyin short video account matrix system technology realize the real-name authentication problem of one machine and one number?

1. The short video account matrix system solves the real-name authentication problem of one machine, one number?

At present, from the perspective of developers, there are many questions. How to solve the multi-account required for the development of technology-based matrix saas tools? This needs to be developed and solved from two aspects.

First, from the perspective of development, technical development first solves the problem of proxy ip distribution, that is, to use the formal official interface--api to do market development, and the authority of the formal official api--the authority to be released. Is this the same as the official The development scenario does not involve the ip attribute, and the enterprise matrix number will not be affected in any way

Second, the employee matrix number is set up. The enterprise account e background can be fissioned into multiple main employee numbers registered with email addresses. In the early stage, with the help of matrix system software tools, multiple bindings can be directly sent to video management

 2. Example of source code development of Douyin short video account matrix system

  //素材数量统计
        $attachment_model   = new App_Model_Douyin_MysqlShopAttachmentStorage();
        $attachment_count   = $attachment_model->getTotalByGroup($this->sid);
        $count_data = [
            'image_count'   => 0,
            'image_size'    => '0B',
            'audio_count'   => 0,
            'audio_size'    => '0B',
            'video_count'   => 0,
            'video_size'    => '0B',
      

3. The research and development of AI intelligent batch editing system mainly involves the following technologies

 

 

1. Video processing technology: including video compression, format conversion, watermark removal, stabilization processing, etc. 

2. Video editing technology: including timeline editing, separation of audio and video materials, splicing of clips, etc.

3. AI algorithm technology: including image recognition, speech recognition, natural language processing, deep learning, etc.

4. Database technology: organize, classify, manage and index video materials to improve the efficiency and response speed of the system.

5. User interface technology: design an intuitive and easy-to-use operation interface, which is convenient for users to clip and edit videos.

The research and development of AI intelligent batch editing system requires a team with strong technical strength and rich experience, which can start from the following aspects:

1. Requirements analysis: understand the needs of users, determine functional requirements and technical requirements.

2. R&D plan: formulate a R&D plan based on the results of demand analysis, and clarify the development cycle, R&D phases and task assignments.

3. Technology selection: choose the appropriate technical solution, including development language, framework, database, etc.

4. R&D implementation: According to the R&D plan and technology selection, complete the tasks of system design, coding, testing, debugging, etc.

5. Online maintenance: After the system is online, follow-up maintenance and upgrades are performed to optimize user experience and system performance.

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Origin blog.csdn.net/moon_wu/article/details/131576956