Dynamic Content Distribution via Environmental Sensor Feedback
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Solution Overview
Problem
Current content distribution systems lack the ability to dynamically manage and distribute content based on real-time environment conditions of media substrates, such as foot traffic and weather, leading to inefficient content delivery.
Innovation Solution
A computer-implemented system that utilizes a content management and distribution engine to process environment condition data from sensors on media substrates, selecting and distributing content accordingly, and generating reports on content distribution and usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If content is distributed using traditional paradigms based on user behavior and geography, then content delivery can be implemented, but the system cannot dynamically adapt to real-time environment conditions such as foot traffic and weather
Solution Approach 1:
The system pre-establishes environment condition criteria and content selection rules before distribution. Sensors are deployed on media substrates in advance to collect environment condition data, and the content management engine is pre-configured with distribution paradigms that incorporate these environmental factors, enabling dynamic adaptation without real-time system reconfiguration
Solution Approach 2:
The patent introduces environment condition data as an intermediary layer between traditional content distribution systems and media substrates. This data layer, collected by sensors and processed by the content management engine, mediates the selection and delivery of content based on real-time environmental conditions without requiring direct complex interactions between all system components
2Productivity
If content distribution is based on static criteria, then system operation is simple, but content exposure and engagement are optimized poorly
Solution Approach 1:
The system transitions from static content distribution criteria to dynamic criteria that adapt based on real-time environment condition data. The content management engine continuously evaluates environmental factors such as foot traffic, weather, and time of day to dynamically select and distribute relevant content, maximizing exposure and engagement while maintaining automated operation
Solution Approach 2:
The system implements feedback loops where environment condition data collected from sensors is continuously fed back to the content management engine. This feedback mechanism enables the system to learn from environmental patterns and optimize content selection over time, improving productivity while the automated feedback process manages the complexity
3Measurement precision
If real-time environment condition data is collected and processed, then targeted content delivery is enabled, but data processing requirements increase
Solution Approach 1:
The system extracts only the most relevant environment condition data needed for content selection from the total data collected by sensors. The content management engine identifies and processes specific environmental factors (such as foot traffic thresholds or weather conditions) that directly impact content suitability, ignoring extraneous data to minimize processing time while maintaining measurement precision for critical parameters
Data Source
AI summary
A system is adapted to manage the distribution of content to one or more cooperating media/substrates. The system receives data representative of environment conditions for one or more cooperating media/substrates adapted to display digital content. The media/substrates may be located in public spaces. The system compares the received data representative of environment conditions with selection criteria to identify content for distribution to the media/substrates. The selected content is distributed to the one or more cooperating media/substrates.