Electronic Advertisement Billing System with Video Analysis
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Solution Overview
Problem
Conventional electronic advertisement systems require advertisers to pay for advertisement services regardless of effectiveness, posing an economic risk as they cannot easily confirm the achieved advertisement effects.
Innovation Solution
An electronic advertisement system that includes a billing tag addition mechanism to attach conditions to advertisement data, using video analysis to determine if these conditions are met, ensuring payment only when specific metrics like passerby engagement are achieved.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If advertisement publication fee is charged regardless of effectiveness, then advertisement agency receives stable revenue, but advertising client faces economic risk without confirmation of advertisement effects
Solution Approach 1:
The system implements feedback by using cameras and analysis programs to detect passerby reactions (gaze direction, facial expressions) and transmit this information back to the billing system. This feedback mechanism enables effect-based billing where the advertisement agency receives payment only when predetermined effects are achieved, resolving the contradiction between revenue stability and economic risk.
Solution Approach 2:
The system applies preliminary action by pre-defining billing conditions and effect criteria before advertisement playback. The analysis programs and billing rules are established in advance, allowing automatic effect verification and conditional billing without manual intervention, thus ensuring both revenue reliability and reducing client risk.
2Loss of information
If advertisement effectiveness is tracked and verified, then advertising client can confirm advertisement effects, but system complexity increases due to additional monitoring and analysis components
Solution Approach 1:
The system applies self-service by enabling automatic effect detection and verification through integrated cameras and analysis programs. The system autonomously monitors passerby reactions, analyzes the data against predetermined criteria, and determines billing eligibility without requiring manual verification, thus reducing information loss while managing complexity through automation.
Solution Approach 2:
The system replaces manual effect verification with automated computer vision and image analysis technology. Instead of human observers manually assessing advertisement effectiveness, the system uses algorithms to detect gaze directions, facial expressions, and other behavioral indicators, significantly reducing the complexity of manual monitoring while improving information accuracy.
3Productivity
If billing conditions are strictly enforced based on measured effects, then advertising client pays only for effective advertisements, but measurement precision requirements increase the difficulty of detecting and measuring advertisement effects
Solution Approach 1:
The system applies parameter changes by defining multiple measurable parameters for advertisement effect detection, including gaze direction angles, facial expression types, and duration of attention. By establishing specific quantitative thresholds for these parameters, the system converts subjective effectiveness assessment into objective, automated measurements that improve billing efficiency while managing measurement complexity through standardized criteria.
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 system allows advertisers to pay only for effective advertisements, reducing economic risk by ensuring payment is made only when predetermined engagement metrics, such as the number of passersby smiling or turning to the advertisement, are met.
Implementation Method 1
an input video analysis means that determines whether the billing conditions for the outputted electronic advertisement data are achieved or not by analyzing the input data of the electronic device
Data Source
AI summary
An electronic advertisement system is provided by which, when an advertisement effect that corresponds to billing conditions is not obtained, an advertiser is free from an obligation to pay advertisement fee so that the advertiser can run an advertisement without having an economic risk. An electronic advertisement sending side computer has a billing tag addition means for adding, to electronic advertisement data, a tag composed of information describing billing conditions. A receiving side computer includes: a display unit that outputs, as output data, video and audio of received electronic advertisement data; and an electronic device that acquires the circumstance around the display unit as input data. A program of the receiving side computer has an input video analysis means that determines whether billing conditions for outputted electronic advertisement data are achieved or not by analyzing input data from the electronic device. When the billing conditions are achieved, the program generates billing charge data.