Sensor Data Personalized Content Delivery via Intermediary Server
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Solution Overview
Problem
Existing security systems lack effective monetization strategies and fail to provide personalized content to customers based on sensor data, limiting revenue opportunities for monitoring service providers and not fully utilizing the potential of integrated monitoring equipment.
Innovation Solution
Implementing a geo-coded advertising engine that uses sensor data to create detailed customer profiles, allowing for targeted and personalized content delivery through integrated LCD displays or other interfaces, enabling advertisers to pay for impressions or clicks based on relevance and timing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If sensor data is collected and processed to create customer profiles, then personalized content delivery capability is improved, but device complexity increases
Solution Approach 1:
The patent introduces a content server as an intermediary component that receives sensor data from the monitoring system, processes it to create customer profiles, and delivers personalized content. This separates the complex profile creation logic from the monitoring system itself, allowing the monitoring system to remain relatively simple while gaining personalized content delivery capability through the intermediary content server.
Solution Approach 2:
The content server performs multiple functions: collecting sensor data, creating customer profiles, selecting personalized content, and delivering it to customers. By consolidating these multiple functions into a single universal component, the system achieves personalized content delivery without proportionally increasing the complexity of individual components.
2Productivity
If geo-coded advertising engine is implemented with sensor data processing, then revenue generation capability is improved, but manufacturing complexity increases
Solution Approach 1:
The content server acts as an intermediary that handles the complex advertising engine functionality separately from the monitoring system. It receives sensor data, creates profiles, selects advertisements, and delivers them, thereby enabling revenue generation without requiring the monitoring system to be overly complex or difficult to manufacture.
Solution Approach 2:
The system is segmented into distinct functional components: the monitoring system that collects sensor data and the content server that handles advertising and profile creation. This segmentation allows each component to be manufactured and optimized independently, reducing overall manufacturing complexity while enabling advanced revenue generation capabilities.
3Ease of operation
If sensor data is used to determine customer attributes and deliver content, then customer engagement is improved, but loss of information increases
Solution Approach 1:
The patent extracts only the necessary information from sensor data to create customer profiles and deliver personalized content. By selectively extracting relevant attributes (such as presence, activity patterns, and preferences) rather than processing all sensor data, the system maintains high customer engagement while minimizing information loss and privacy concerns.
Solution Approach 2:
The system uses feedback from customer interactions with the monitoring system and responses to personalized content to refine customer profiles. This continuous feedback loop ensures that only relevant information is processed and stored, improving engagement while reducing unnecessary information accumulation and potential data loss.
Data Source
AI summary
Techniques are described for using sensor data derived from a monitoring system to drive personalized content. Sensor data captured by a monitoring system may be used to determine attributes of users of the monitoring system and/or attributes of a property monitored by the monitoring system. The determined attributes may be used to select content to present to users of the monitoring system. Content presentation may be made through the monitoring system and may be triggered based on events detected by the monitoring system.


