IPTV Set-Top Box Facial Recognition Access Control
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Solution Overview
Problem
In IPTV environments, existing login methods are cumbersome and do not effectively manage access permissions for multiple users present at the same time, often requiring the creation of additional accounts or administrative workarounds, which are inefficient and prone to content access issues.
Innovation Solution
A method and system that uses facial recognition to identify multiple users in a captured image, retrieving their associated profiles and determining access permissions based on these profiles, allowing for dynamic adjustment of content access rights, either by the most restrictive or least restrictive settings, and enabling conditional permissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional login methods with PIN codes are used, then user authentication is achieved, but user operation becomes cumbersome and inefficient
Solution Approach 1:
The patent replaces the mechanical input method (typing PIN codes using remote control) with an optical/biometric system (facial recognition camera). The capture device automatically detects and recognizes user faces, eliminating the need for manual code entry and significantly improving login convenience while reducing time consumption.
Solution Approach 2:
The system performs automatic user identification and authentication without requiring active user participation. The capture device autonomously detects faces, the recognition engine automatically compares facial features against stored profiles, and the system self-determines which user profile to apply, freeing users from manual login procedures.
2Adaptability or versatility
If multiple user profiles with different restrictions are created, then content access control is improved, but device complexity increases
Solution Approach 1:
The patent implements dynamic content access control that automatically adjusts permissions based on which users are detected in real-time. When multiple users are present, the system dynamically determines the appropriate content restrictions by evaluating the combination of detected user profiles, eliminating the need for static, pre-configured accounts for every possible user combination.
Solution Approach 2:
The system creates a universal authentication framework where a single account can serve multiple users through facial recognition. Instead of requiring separate accounts for each user scenario, the system universally applies facial biometric verification to automatically identify and apply the correct permissions for any combination of users, simplifying account management while maintaining versatile access control.
3Ease of operation
If facial recognition is implemented for user identification, then ease of operation is improved, but device complexity increases due to additional hardware requirements
Solution Approach 1:
The patent merges the facial recognition capture device with the existing IPTV set-top box system. The camera and processing components are integrated into the STB infrastructure, allowing facial recognition functionality to be added without requiring completely separate hardware systems. This consolidation reduces overall device complexity compared to implementing facial recognition as a standalone system.
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
This approach simplifies user validation and content access management, reducing the risk of inappropriate content exposure and administrative complexity by automatically determining and enforcing access permissions based on the presence of multiple users, enhancing user experience and reducing the need for multiple accounts.
Implementation Method 1
a photograph with three people in it is captured by capture device 52, and is then passed to a recognition engine 54. Recognition engine 54 can isolate the faces in the photograph with sufficiently high accuracy, and can then compare the facial features of each identified face
Implementation Method 2
recognition engine 54 can isolate the faces in the photograph with sufficiently high accuracy, and can then compare the facial features of each identified face to the contents of profile database 56
Implementation Method 3
a biometric reading, including a facial recognition scan, can be used as a login credential into some computing systems. A photograph of a user 60 is captured by capture device 52 and provided to recognition engine 54
Data Source
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AI summary
The use of an image capture device with a IPTV Set Top Box (STB) allows for the STB to detect a plurality of viewers, and to then provide access conditions that are appropriate to the detected viewers. In cases where a viewer has not been profiled this may include creating a profile for the user, while in cases where a plurality of users are detected, a set of access rights and permissions determined in accordance with the plurality of users can be provided.