Vehicle-Mounted Display Content Adaptation via Sensor Feedback
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Solution Overview
Problem
Static billboards often fail to effectively target specific demographics and adapt to external factors, resulting in many audiences being unreceptive to the displayed content, whereas mobile billboards have the potential to reach a larger audience but lack dynamic and targeted content adjustments.
Innovation Solution
A method and system for displaying media content on vehicles equipped with exterior display screens, utilizing GPS, sensors (such as cameras, accelerometers, and environmental sensors) to dynamically select and adjust content based on speed, contextual, and environmental factors, including geographic location, time, traffic, and weather, ensuring that content is relevant and engaging to passing audiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If content is displayed on stationary billboards, then content can be shown to large numbers of people, but content cannot be dynamically adjusted or targeted to specific demographics
Solution Approach 1:
The billboard system transitions from static to dynamic content delivery by mounting displays on moving vehicles. The content displayed changes dynamically based on vehicle location, speed, and environmental conditions detected by sensors, allowing the system to adapt to different audiences and contexts while maintaining a relatively simple overall architecture.
Solution Approach 2:
The system incorporates sensors (cameras, accelerometers, GPS) that continuously monitor environmental conditions, vehicle state, and audience presence. This feedback is processed to dynamically adjust content selection and display parameters, enabling targeted content delivery without requiring complex manual intervention.
2Adaptability or versatility
If content is displayed on mobile billboards, then larger audiences can be reached, but content cannot be targeted to specific demographics or adjusted dynamically
Solution Approach 1:
The system pre-loads multiple content options and uses sensor data to predict optimal content before vehicles reach specific locations or demographics. By preparing targeted content in advance based on anticipated audience characteristics, the system maximizes engagement while efficiently utilizing display time.
Solution Approach 2:
The system changes multiple parameters simultaneously including content selection, display brightness, refresh rate, and duration based on real-time sensor inputs such as ambient light levels, vehicle speed, and detected audience presence. These parameter adjustments optimize content delivery for different viewing conditions and demographic groups.
3Productivity
If sensors and dynamic selection systems are added to vehicles, then content can be dynamically adjusted, but device complexity increases
Solution Approach 1:
The system uses multi-functional sensors that serve multiple purposes: cameras detect both audience presence and environmental context, accelerometers monitor both vehicle motion and display stability, and GPS provides both location data and route information. This multi-functionality reduces the number of separate components needed while achieving sophisticated content delivery.
Solution Approach 2:
The system automatically processes sensor data and selects content without requiring manual intervention. The controller autonomously adjusts display parameters based on real-time conditions, eliminating the need for operators to manually change content while vehicles are in motion, thereby reducing operational complexity.
Data Source
AI summary
A method is disclosed for displaying dynamic media content on a vehicle-mounted display as the vehicle travels along a route. The dynamic content may be audio or video content, and is selected based in part on sensor data, which may pertain to contextual or environmental factors. The content may be dynamically adjusted during playback, such as by bouncing or sharply changing direction during a sudden change in velocity or acceleration. Aside from motion-related factors, other contextual and environmental factors include weather, visibility, traffic, location, and time of day.