Video Display Age Verification With Real-Time Viewer Counting
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Solution Overview
Problem
Existing video distribution systems face inaccuracies in viewer counting and fail to effectively protect minors from harmful content due to insufficient age verification methods, particularly in informal content provision spaces.
Innovation Solution
A system and method that utilizes facial and voice recognition algorithms to accurately count viewers and verify their ages, providing authentication marks and modifying video content as needed to prevent minors from accessing explicit or violent content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If viewer counting is performed only at the beginning of a video, then the system complexity is reduced, but the viewer counting accuracy deteriorates
Solution Approach 1:
The system performs continuous viewer counting throughout the entire video playback process rather than only at the beginning. The image processor continuously captures and analyzes viewer images during video playback, ensuring accurate viewer counting while maintaining reasonable system complexity through automated processing.
Solution Approach 2:
The system performs preliminary actions by capturing viewer images at multiple time points during video playback. By proactively collecting viewer data throughout the video rather than waiting for a specific moment, the system ensures accurate viewer counting without requiring complex real-time intervention.
2Ease of operation
If simple cellphone-based authentication is used, then the ease of operation is improved, but the reliability of age verification deteriorates
Solution Approach 1:
The system replaces manual cellphone-based authentication with automated image processing and facial recognition algorithms. The server automatically captures viewer images, processes them to estimate age, and verifies authentication marks without requiring manual intervention, thereby improving reliability while maintaining ease of operation.
Solution Approach 2:
The system enables self-service authentication where viewers automatically present their faces for age verification. The image processor and age estimator work autonomously to capture, analyze, and verify viewer age without requiring manual input or complex user actions, making the process both reliable and convenient.
3Reliability
If facial recognition and age estimation algorithms are implemented, then the age verification reliability is improved, but the device complexity increases
Solution Approach 1:
The server performs multiple functions using the same image processing infrastructure: it captures viewer images, processes them to extract facial features, estimates age, and verifies authentication marks. This multi-functional approach improves age verification reliability while minimizing additional system complexity by reusing existing components.
Solution Approach 2:
The system merges the image capture, processing, age estimation, and authentication verification functions into a single integrated server process. By combining these functions rather than implementing them as separate systems, the patent achieves reliable age verification while keeping the overall system complexity manageable.
4Measurement precision
If real-time viewer counting and age verification are performed throughout video playback, then the measurement precision is improved, but the use of energy increases
Solution Approach 1:
The system performs viewer counting and age verification at periodic intervals during video playback rather than continuously. The image processor captures viewer images at specific time points (beginning, middle, and end of video), achieving accurate viewer counting while reducing energy consumption compared to continuous monitoring.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables real-time viewer counting and effective age verification, ensuring accurate payment and protecting minors from inappropriate content in private spaces.
Implementation Method 1
an image processor configured to generate time-series video frames from a viewer space video received from the video recorder and separate and extract faces of viewers from the generated video frames
Implementation Method 2
an age estimator configured to estimate an age of each individual from facial information of the viewers generated by the image processor using a facial recognition algorithm
Implementation Method 3
a second age verifier configured to receive a recorded voice signal of a viewer from the at least one viewer terminal which has photographed the authentication mark displayed on the display and estimate the age through a voice recognition algorithm
Data Source
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AI summary
Provided are a system (100) and method for providing a video. The system (100) includes a display (110) disposed in a viewer space, a video recorder (120) disposed in the display (110) or the viewer space, one or more viewer terminals (130) configured to provide a video to the display (110), and a server (140) configured to communicate with the display (110), the video recorder (120), and the viewer terminals (130) and provide an externally received video to the display (110) or the viewer terminals (130).