Digital Camera Object Recognition for Contextual Ad Insertion
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Solution Overview
Problem
Digital cameras lack effective methods to integrate targeted advertising into captured images based on recognized objects, limiting the potential for location-dependent and user-specific advertising opportunities.
Innovation Solution
Incorporating an image capture system, object recognition system, and advertisement insertion system that recognizes visible objects in digital images and inserts advertising-related images, either as overlays or replacements, during capture, display, storage, or upload, utilizing GPS for location-based advertising and language identification for user-specific content, with options for financial remuneration through subsidized services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional digital cameras capture and store images without additional processing, then the device complexity remains low and operation is simple, but advertising opportunities and user personalization are limited
Solution Approach 1:
The patent combines multiple systems (image capture, object recognition, advertisement insertion, GPS positioning, language identification) into an integrated digital camera system. These systems work together to automatically recognize objects in captured images, identify user location and language preferences, and insert relevant advertisements without requiring separate devices or manual intervention.
Solution Approach 2:
The digital camera is designed to perform multiple functions beyond basic image capture: it recognizes objects using pattern matching, determines geographic position via GPS, identifies user language preferences, and inserts contextually relevant advertisements. This multi-functionality allows a single device to serve advertising, navigation, and personalization purposes simultaneously.
2Adaptability or versatility
If object recognition and advertisement insertion systems are added to digital cameras, then targeted advertising capability is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs object recognition, GPS positioning, and language identification in parallel during image capture rather than sequentially after capture. By initiating multiple processing tasks simultaneously and preparing advertisement content in advance based on pre-fetched data from servers, the system minimizes additional processing time while delivering personalized ads.
3Productivity
If advertisement insertion is performed on captured images, then advertising revenue potential increases, but image quality and user experience may deteriorate
Solution Approach 1:
The advertisement insertion system selectively places ads in specific regions of the image that do not overlap with recognized objects or critical visual elements. By analyzing the spatial distribution of objects in the scene and choosing appropriate insertion locations, the system maintains image quality while enabling advertising revenue generation through contextually relevant placements.
Data Source
AI summary
Digital cameras include an image capture system, an object recognition system and an advertisement insertion system. The image capture system captures a visible image as a digital image. The object recognition system recognizes visible objects in the digital image. The advertisement insertion system inserts an advertising-related image into the digital image in response to a visible object in the digital image that was recognized. The user of the digital camera may be compensated for exposure to the advertising-related image.