Mobile Device Brand Detection via Image Recognition
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Solution Overview
Problem
Current mobile communication devices lack efficient methods to provide location-based brand detection and display brand information using visual cues such as logos and storefronts, which limits their ability to offer targeted marketing and navigation services effectively.
Innovation Solution
A method and apparatus that utilize a camera on a mobile device to capture images of logos or storefronts, perform image recognition using a reference image feature data table, and display brand information, while also determining the device's location using wireless signal parameters and annotated maps, enabling augmented reality applications and product information retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If image recognition and brand detection features are added to mobile devices, then location-based marketing and navigation capabilities are improved, but device complexity increases
Solution Approach 1:
The system segments the brand detection process into multiple independent modules: location determination module (using wireless signal parameters), image recognition module (using reference image feature data tables), and brand information display module. Each module operates independently and can be activated based on user needs, reducing the complexity burden on the overall device while maintaining comprehensive functionality.
Solution Approach 2:
The system pre-builds reference image feature data tables containing logo images and associated brand information before actual brand detection is needed. This preliminary preparation allows the image recognition module to quickly match captured images against pre-processed reference data, reducing real-time processing complexity and enabling faster brand identification without requiring complex live analysis algorithms.
2Measurement precision
If multiple sensors and processing modules are integrated for location-based services, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system merges multiple location determination methods into a unified framework: combining wireless signal parameter measurements (from WiFi access points, cellular base stations) with visual landmark recognition (logos, storefronts) to achieve complementary location estimation. This merging allows the device to use the most accurate and energy-efficient method available at any given moment without requiring all sensors to operate simultaneously, thus improving precision while managing complexity.
Solution Approach 2:
The system introduces an intermediary processing layer that coordinates between different sensors and measurement methods. This intermediary module (the location determination module) processes wireless signal parameters and visual recognition results, reconciling their data to produce a unified location estimate. This intermediary approach allows complex multi-sensor integration to be managed systematically, improving measurement precision through data fusion while keeping the overall system architecture manageable through structured processing stages.
Data Source
AI summary
Techniques for determining brand information and refining a position of a mobile device are described herein. An example of a method for displaying branding information on a mobile device includes receiving a reference image feature data table based on a rough location of the mobile device, such that the reference image feature data table includes a collection of entity records and wherein each entity record includes a plurality of logo image feature fields, obtaining an image including a displayed logo, utilizing an image recognition process and the reference image feature data table on the image to determine a recognized logo, and displaying brand information based on the recognized logo.