Facial Recognition Viewer Headcount Pricing Model
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Solution Overview
Problem
Current streaming video service pricing models, such as monthly membership or pay-per-view, do not accurately account for the number of viewers, leading to revenue losses for content providers as multiple users can watch the same content without additional charges, affecting movie studios and distributors negatively.
Innovation Solution
Implementing a viewer headcount pricing model using facial recognition cameras and motion sensors to accurately monitor and track the number of viewers, simulating the movie theater pricing model by charging per viewer, and integrating this technology into streaming services and devices to ensure accurate billing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a monthly membership or pay-per-view pricing model is used, then ease of operation is improved, but revenue loss occurs due to multiple viewers watching without additional charges
Solution Approach 1:
The patent replaces manual account sharing and unauthorized access with an automated facial recognition system. Cameras capture viewer images, software identifies faces, and the system automatically tracks unique viewers, replacing the need for manual intervention and enabling accurate per-viewer billing without user effort.
Solution Approach 2:
The system enables self-service by allowing the facial recognition technology to automatically monitor, identify, and count viewers without requiring user action. The technology independently performs viewer verification and billing calculations, reducing the need for customer service intervention and manual account management.
2Measurement precision
If facial recognition cameras and motion sensors are implemented, then measurement precision of viewer headcount is improved, but device complexity increases
Solution Approach 1:
The patent applies multi-functionality by using facial recognition technology that serves multiple purposes: identifying unique viewers, verifying account holders, detecting presence, and enabling billing. This consolidates what would otherwise require separate systems into a single integrated solution, reducing overall device complexity while maintaining measurement precision.
Solution Approach 2:
The patent introduces software as an intermediary that processes raw camera data and motion sensor information. The software bridges the gap between hardware inputs and billing decisions, automatically matching facial recognition results with account information and determining unique viewer counts, thereby simplifying the integration of complex hardware components.
3Loss of energy
If viewer headcount pricing is implemented, then revenue capture is improved, but difficulty of detecting and measuring viewer numbers increases
Solution Approach 1:
The patent replaces manual counting and verification methods with automated facial recognition technology. Cameras continuously capture images, software automatically identifies and compares faces, and the system independently determines unique viewer counts, eliminating the need for manual detection and measurement efforts.
Solution Approach 2:
The patent implements feedback mechanisms where the facial recognition system continuously monitors the viewing environment, compares detected faces against registered account holders, and provides real-time information about unique viewers. This feedback loop enables dynamic adjustment of billing calculations and ensures accurate revenue capture based on actual viewer presence.
Data Source
AI summary
The method and system of the present invention allows the media content providers to count the number of people watching the media content being streamed and apply the viewer headcount pricing model like how it is done in the movie theaters to capture revenues lost at the movie theaters from streaming video content directly to the home. The central component of the viewer headcount pricing model is the utilization of the facial recognition range camera and/or motion sensor to determine the number of viewers and charge the customers by the headcount.