Context-Aware Ad Display Using Object Recognition

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Solution Overview

Problem

Current targeted advertising systems in public spaces lack real-time adaptability, effective object recognition, and context-aware ad display, while also raising privacy concerns.

Innovation Solution

A system employing neural networks and object recognition software, integrated with cameras and display screens, to identify specific objects and display relevant advertisements in real-time, with optional facial recognition and online data analysis for enhanced targeting.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional digital footprint-based advertising methods are used, then user targeting is achieved through online data collection, but real-time physical context awareness is lost and user privacy concerns increase

Engineering Contradiction:

Improvetargeting precisionVSAvoidphysical context information

Core Design Contradiction:

Measurement precisionVSLoss of information

Solution Approach 1:

The system merges digital advertising capabilities with physical world observation by integrating camera-based object recognition software with digital advertisement databases, enabling the system to simultaneously capture physical context and deliver targeted ads in real-time

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

Object recognition software acts as an intermediary between physical objects in the environment and the advertising system, translating visual data into contextual information that triggers relevant advertisement selection and display

Inventive Principle:

Principle #24Intermediary (Mediator)

2Adaptability or versatility

If basic sensor-equipped billboards are deployed, then advertising display capability is provided, but real-time adaptability to dynamic public spaces is lost

Engineering Contradiction:

Improveadvertising display capabilityVSAvoidreal-time adaptation speed

Core Design Contradiction:

Adaptability or versatilityVSSpeed

Solution Approach 1:

The system transforms static billboards into dynamic advertising platforms that continuously adapt their content based on real-time object recognition results, allowing the advertisement display to change automatically as different objects or people pass by

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system implements a feedback loop where camera data is continuously analyzed by object recognition software, which then triggers appropriate advertisement selection and display adjustments in real-time based on the detected physical context

Inventive Principle:

Principle #23Feedback

3Ease of operation

If QR codes or interaction devices are used, then user engagement is attempted, but user convenience deteriorates due to required active participation

Engineering Contradiction:

Improveuser engagement mechanismVSAvoiduser interaction time

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

The advertising system performs the targeting and selection work automatically through object recognition and AI algorithms, eliminating the need for users to actively scan codes or interact with devices - the system serves itself by autonomously selecting and displaying relevant ads

Inventive Principle:

Principle #25Self-service

4Measurement precision

If facial recognition technologies are implemented, then individual identification capability is improved, but ethical and privacy concerns increase

Engineering Contradiction:

Improveidentification accuracyVSAvoidprivacy concerns

Core Design Contradiction:

Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The system extracts and focuses on non-personal identifying features such as objects, clothing, accessories, and environmental context that people carry or interact with, deliberately excluding facial recognition to avoid privacy concerns while maintaining effective advertising targeting capability

Inventive Principle:

Principle #2Taking out (Extraction)

Data Source

PatentUS20250117826A1System and Related Methods for Real-Time Context-Aware Targeted Advertising System Using Neural Networks and Object Recognition in Public Spaces

Publication Date: 2025.04.10 BOBROV ANTON

AI summary

The invention provides a system for real-time, context-aware targeted advertising in public spaces. Utilizing a combination of neural networks, object recognition software, and a hardware setup of cameras and display screens, the system identifies specific objects in the vicinity. Based on this real-time data, the system selects and displays advertisements that are most relevant to the individuals present. Advanced versions integrate facial recognition and online data analysis for more precise targeting. The system offers advertisers the ability to reach their intended audience more effectively while minimizing intrusion on those not interested in the displayed content.