Commercial Airing Verification System Using Automated Detection
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Solution Overview
Problem
Advertisers face challenges in monitoring, verifying, and rating the performance of commercial airings, as existing systems lack comprehensive tools to ensure compliance with contract specifications, such as time, programming, and demographic targeting.
Innovation Solution
A system and apparatus that generate performance verification and monitoring reports using commercial detection information, program schedule data, and buy information, enabling users to track compliance with advertising contracts through user interface screens and analytics, allowing for real-time monitoring and adjustments during campaigns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If comprehensive monitoring and verification systems are implemented to track commercial airings, then measurement precision and reliability of advertising performance data are improved, but device complexity and cost increase
Solution Approach 1:
The patent introduces an intermediary verification system that acts as a mediator between advertisers and advertising handlers. This system uses automated detection technologies (audio/video analysis, metadata parsing) to objectively verify commercial airings, reducing the need for complex manual monitoring while improving measurement precision. The intermediary system processes advertising data through multiple verification stages including detection, validation, and reporting.
Solution Approach 2:
The patent replaces manual mechanical verification processes with automated electronic systems. Instead of human reviewers manually checking commercial airings against contract specifications, the system uses automated detection algorithms, digital signal processing, and computer-based validation rules to verify compliance, thereby improving precision while managing system complexity through automation.
2Reliability
If real-time monitoring and verification of commercial airings is implemented, then reliability of performance data is improved, but loss of time for processing and reporting increases
Solution Approach 1:
The patent implements preliminary action by pre-configuring verification rules, detection parameters, and validation criteria before commercial campaigns begin. Advertising handlers set up contract specifications, target demographics, and compliance rules in advance, allowing the system to automatically verify airings against pre-established criteria, reducing real-time processing time while maintaining reliability.
Solution Approach 2:
The patent enables continuous monitoring and verification of commercial airings without interruption. The system processes commercial detections in real-time as they occur, continuously validating against contract specifications and generating ongoing performance reports, thereby maintaining reliability while minimizing time loss through uninterrupted automated processing.
3Loss of information
If detailed performance verification and monitoring reports are generated, then information completeness is improved, but loss of information processing overhead increases
Solution Approach 1:
The patent segments performance verification information into multiple hierarchical levels: summary-level metrics for high-level oversight, detailed verification data for specific commercial airings, and granular compliance information for individual contract clauses. This segmentation allows users to access complete information when needed while reducing processing overhead by only retrieving detailed data for specific queries rather than processing all information continuously.
Data Source
AI summary
Methods and apparatus to monitor, verify, and rate the performance of airings of commercials are disclosed. An example method includes analyzing received advertisement detection information associated with the advertisement, the advertisement detection information detected from a presentation of the advertisement; identifying a buy order corresponding to the presentation of the advertisement based on the advertisement detection information; determining a purchased ratings value from the buy order; comparing the purchased ratings value of the buy order to received ratings information corresponding to the presentation of the advertisement to determine whether the advertisement was presented as indicated in the buy order; and generating a performance monitoring report using the buy order and the advertisement detection information to indicate whether the ratings information is less than the purchased ratings value.