Live Streaming Screenshot Verification for E-Commerce Compliance
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Solution Overview
Problem
Current live streaming data processing systems lack effective verification mechanisms to ensure that article objects posted during e-commerce live streaming are compliant and secure, leading to potential unauthorized or unverified transactions.
Innovation Solution
A method and server system that verifies article objects in live streaming data by processing screenshots, utilizing neural network models to classify compliance and category accuracy, and sending verification failure information to prevent unauthorized postings, ensuring only compliant objects are posted.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If article objects are posted without verification in live streaming, then posting efficiency is improved, but transaction security and compliance reliability deteriorate
Solution Approach 1:
The system performs preliminary verification of article objects by processing live streaming screenshots before allowing posting. The verification module checks compliance and extracts article information in advance, so that only verified articles can be posted, thus ensuring transaction security while maintaining efficient posting operations.
2Reliability
If verification mechanisms are implemented for article objects, then transaction security is improved, but system complexity and processing time increase
Solution Approach 1:
The verification system operates autonomously by automatically processing live streaming screenshots, extracting article object information, and performing compliance verification without manual intervention. This self-service mechanism reduces the need for complex manual review processes while maintaining high transaction security standards.
Solution Approach 2:
The system replaces manual verification processes with automated image recognition and natural language processing technologies. By substituting mechanical human review with computational algorithms, the system achieves reliable verification while reducing operational complexity and processing time.
3Measurement precision
If comprehensive verification of article objects is performed, then compliance accuracy is improved, but processing speed decreases
Solution Approach 1:
The verification process is segmented into multiple independent modules: screenshot capture, article information extraction, compliance verification, and posting approval. Each module handles specific tasks independently, allowing parallel processing that maintains high compliance accuracy while improving overall processing speed through efficient task distribution.
Data Source
AI summary
Provided is a method for processing live streaming data. The method is applicable to a server and includes receiving an article post request from a first terminal by the server, wherein the first terminal is a terminal corresponding to an anchor account, and the article post request carries a screenshot of a live streaming picture in a live streaming room of the anchor account, the screenshot of the live streaming picture including an article object; verifying the screenshot of the live streaming picture in response to the article post request; and sending verification failure information to the first terminal in response to a failure of the verifying for the screenshot of the live streaming picture, wherein the verification failure information indicates that the article object is not allowed to be posted.