Automated Smart Home Network Configuration for Targeted Advertising

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current systems lack efficient methods for marketing and selling data from connected smart home devices, with existing solutions requiring manual data upload and lacking real-time data monetization capabilities, which hinders businesses in optimizing their digital marketing efforts and sales strategies.

Innovation Solution

The implementation of an automated system that uses machine learning and device discovery processes to gather and analyze data from connected smart home devices, enabling real-time data capture, targeted advertising, and monetization, while also allowing for reverse advertisements and cross-branding opportunities, thereby enhancing data handling and marketing efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual data upload methods are used, then data can be collected from smart home devices, but the process is inefficient and lacks real-time capabilities

Engineering Contradiction:
Improvedata collection efficiencyVSAvoidreal-time data availability
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The patent replaces manual data upload mechanisms with automated device discovery and data collection systems. The system automatically detects smart home devices on the network, establishes communication channels, and retrieves data without human intervention, thereby eliminating the inefficiencies of manual processes and enabling real-time data monetization.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables smart home devices to automatically participate in data collection processes. Devices are automatically discovered, registered, and configured to share their data through the platform without requiring user action. This self-service approach drives productivity by making data collection continuous and autonomous.

Inventive Principle:
Principle #25Self-service

2Extent of automation

If automated device discovery is implemented, then real-time data capture is enabled, but system complexity increases

Engineering Contradiction:
Improveautomated data monetizationVSAvoidsystem architecture
Core Design Contradiction:
Extent of automationVSDevice complexity

Solution Approach 1:

The patent implements a universal device discovery protocol that can identify and communicate with multiple types of smart home devices through a single standardized interface. This multi-functional approach automates data collection across diverse devices without proportionally increasing system complexity, as the same discovery mechanism handles various device categories.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system introduces an intermediary platform layer that manages the complexity of automated device discovery and data collection. This intermediary handles device registration, data validation, and monetization logic, shielding end users from complexity while enabling full automation. The intermediary acts as a buffer between simple user interactions and complex backend processes.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Productivity

If targeted advertising is provided based on user data, then marketing efficiency improves, but user privacy concerns increase

Engineering Contradiction:
Improvemarketing conversion rateVSAvoiduser privacy risk
Core Design Contradiction:
ProductivityVSObject-affected harmful factors

Solution Approach 1:

The patent applies local quality by allowing users to selectively control which data from their smart home devices is shared for advertising purposes. Instead of uniform data collection, the system enables granular permissions where users can choose specific devices, data types, or time periods for monetization. This localized control maintains privacy while enabling targeted advertising with user-approved data sets.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The system implements feedback mechanisms where users can review, approve, or revoke data sharing permissions at any time. The platform provides transparency about what data is being used for advertising and allows users to adjust their preferences. This feedback loop builds trust and mitigates privacy concerns while maintaining the ability to conduct effective targeted advertising campaigns.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS20240037603A1Systems and methods for targeted advertisements
Publication Date: 2024.02.01 UNIVERSAL ELECTRONICS INC
  • US20240037603A1 patent drawing
  • US20240037603A1 patent drawing
  • US20240037603A1 patent drawing

AI summary

A device may use a device discovery process to automatically determine a configuration of a home network system of the user. A device may store data representative of the determined configuration of a home network system of the user in a data repository. A device may use the data representative of the determined configuration of the home network system of the user to automatically verify a compliance by the user with a condition for receiving the targeted advertisement. A device may provide the targeted advertisement to the user when the determined configuration of the home network system of the user is determined to be in compliance with the condition for receiving the targeted advertisement.