system
The system addresses the lack of real-time analysis and filtering of inappropriate content on smartphones by using an AI-driven approach to analyze, block, and select appropriate content based on user preferences, creating a safe internet environment.
JP2026107527APending Publication Date: 2026-06-30SOFTBANK GROUP CORP
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- SOFTBANK GROUP CORP
- Filing Date
- 2024-12-18
- Publication Date
- 2026-06-30
AI Technical Summary
Technical Problem
Conventional technologies fail to analyze advertisements and videos on smartphones in real time and automatically filter inappropriate content, leading to potential exposure to inappropriate material.
Method used
A system comprising an analysis unit, judgment unit, blocking unit, and learning unit that analyzes content in real time, determines appropriateness, blocks inappropriate content, and selects appropriate content based on user preferences and history.
Benefits of technology
Provides a safe internet environment by automatically filtering out inappropriate advertisements and videos, ensuring only appropriate content is displayed, tailored to individual user preferences.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure 2026107527000001_ABST
Abstract
The system according to this embodiment aims to analyze the content of advertisements and videos displayed on smartphones in real time and automatically filter out inappropriate content. [Solution] The system according to the embodiment comprises an analysis unit, a judgment unit, a blocking unit, a selection unit, and a learning unit. The analysis unit analyzes advertisements and videos displayed on the smartphone in real time. The judgment unit determines the content of the advertisements and videos analyzed by the analysis unit. The blocking unit blocks advertisements and videos that the judgment unit has determined to be inappropriate. The selection unit selects and displays content that the judgment unit has determined to be appropriate. The learning unit learns the user's search queries and browsing history to improve the accuracy of filtering.
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