Electronic Billboard Content Adaptation via Vehicle Detection
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Solution Overview
Problem
Traditional billboards require physical alteration to change messages, which is inefficient and costly, whereas modern electronic video displays lack dynamic content adjustment based on passing vehicle types and demographics.
Innovation Solution
A system that captures images of passing vehicles, categorizes them, and matches the categories to specific video display messages, allowing for real-time adjustment of content on public electronic video displays based on vehicle types and demographics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If physical billboards are used with fixed content, then message stability is maintained, but content change efficiency deteriorates due to required physical alteration
Solution Approach 1:
The patent replaces the mechanical system of physical billboard alteration with an electronic video display system. Instead of physically painting or replacing billboard panels, the system uses electronic displays that can change content through digital signals. This substitution dramatically improves content change efficiency while eliminating the complexity of physical modification processes.
Solution Approach 2:
The patent transforms the static, fixed-content billboard into a dynamic electronic video display system. The display can automatically adjust and change content in real-time based on detected vehicle types and demographics, enabling continuous adaptation without physical intervention. This dynamic capability resolves the contradiction by making content changes efficient and flexible.
2Adaptability or versatility
If electronic video displays are used without dynamic adjustment, then device complexity is reduced, but adaptability to different vehicle types and demographics deteriorates
Solution Approach 1:
The patent implements a self-service system where the electronic video display automatically detects vehicle types and demographics using sensors and cameras, then autonomously selects and displays appropriate content without human intervention. This automation enhances adaptability to different vehicle types while managing system complexity through integrated decision-making algorithms.
Solution Approach 2:
The system incorporates feedback mechanisms where sensors continuously monitor passing vehicles, and the detected information is fed back to the control system. Based on this feedback about vehicle types and demographics, the system automatically adjusts the displayed content. This closed-loop feedback enables high adaptability while keeping the system manageable through automated responses.
3Productivity
If generic messages are displayed on electronic billboards, then device complexity is minimized, but advertising effectiveness deteriorates due to lack of targeting
Solution Approach 1:
The patent applies local quality by customizing the displayed message content according to the specific characteristics of passing vehicles and their occupants. Different vehicle types and demographic groups receive different tailored messages, rather than displaying uniform generic content. This localization of message quality significantly improves advertising effectiveness by matching content to the specific audience.
Solution Approach 2:
The system changes the parameters of the displayed messages based on detected vehicle types and demographics. Instead of using fixed generic content, the system dynamically adjusts message parameters such as content selection, timing, and presentation style to match the target audience. This parameter-based customization enhances advertising effectiveness while managing complexity through systematic variation.
Data Source
AI summary
A method, system, and/or computer program product optimize a display of messages on a public electronic video display. A video camera captures images of multiple mobile vehicles that are traversing a vehicular pathway, which is physically proximate to a public electronic video display. The multiple mobile vehicles are categorized into a specific vehicle category based on captured images of the multiple mobile vehicles. The specific vehicle category is matched to a particular set of multiple video display messages. A video display message is displayed on the public electronic video display based on the specific vehicle category.