Merchant Authenticity Verification via Street View Image Matching
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Solution Overview
Problem
Current methods for verifying merchant authenticity are inefficient and prone to errors, including manual inspection which is costly and methods combining search engines and natural language processing that struggle to distinguish between similar-named merchants and verify incorrect addresses.
Innovation Solution
A merchant authenticity verification system and method based on street view image recognition, which uses street view image databases to match merchant storefront images with corresponding street view images, calculating image similarity and verifying merchant names without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inspection and verification methods are used for merchant verification, then verification accuracy is improved, but verification efficiency deteriorates and verification costs increase
Solution Approach 1:
The patent replaces manual inspection with an automated image recognition system that uses deep learning models to verify merchant authenticity. The system automatically compares uploaded storefront images with street view images and extracts business information, eliminating the need for manual verification while maintaining high accuracy and improving efficiency.
2Productivity
If search engines and natural language processing technologies are combined for merchant verification, then verification speed is improved, but verification accuracy deteriorates due to inability to distinguish similar-named merchants and verify incorrect addresses
Solution Approach 1:
The patent replaces text-based search and NLP with image-based verification. The system uses image recognition to compare actual storefront images with street view images, allowing it to distinguish between similarly named merchants by their visual appearance and verify address accuracy through visual confirmation, thereby improving both speed and accuracy.
Solution Approach 2:
The patent introduces street view images as an intermediary element between the merchant's uploaded images and the verification system. This intermediary allows the system to visually compare and verify merchant information, resolving the ambiguity in text-based search results and enabling accurate distinction between similar-named merchants.
3Quantity of substance
If merchant storefront photos are uploaded by merchants for network access, then merchant information availability is improved, but information authenticity deteriorates due to Photoshop processing and forgery
Solution Approach 1:
The patent implements a feedback mechanism where the system automatically compares merchant-uploaded images with street view images and provides verification results. This feedback loop allows the system to detect inconsistencies, such as Photoshop processing or forgery, by comparing visual features and extracting business information from both images to verify authenticity.
Solution Approach 2:
The patent uses street view images as an intermediary reference to verify the authenticity of merchant-uploaded images. By comparing the uploaded storefront images with corresponding street view images, the system can detect manipulation, forgery, or inconsistencies, thereby ensuring information authenticity while maintaining availability.
4Ease of operation
If merchant storefront photos are uploaded by merchants, then merchant information accessibility is improved, but information accuracy deteriorates due to inconsistency with registered locations and potential forgery
Solution Approach 1:
The patent implements an automated verification feedback mechanism that compares merchant-uploaded images with street view images and provides accuracy assessment. The system extracts business information from both images and compares them, providing feedback on consistency and accuracy, thereby maintaining accessibility while improving precision through automated verification.
Data Source
AI summary
The present disclosure relates to a merchant authenticity verification system and method. The system comprises: a street view roaming module that calculates a translation scale for translating coordinates of an image acquisition point, calculates the coordinates of the image acquisition point based on the translation scale, and interacts with the street view image system to obtain a corresponding street view image based on the coordinates of the image acquisition point; an image comparison module that matches the merchant storefront image obtained with the street view image obtained from the street view roaming module to calculate merchant image similarity; a character recognition module for recognizing a merchant name from the street view image obtained from the street view roaming module; and a text comparison module for matching the merchant name recognized with the merchant name obtained from the merchant information platform to calculate merchant name similarity, and determining whether the merchant name similarity reaches a specified threshold, where in the case that the merchant name similarity reaches the specified threshold, merchant authenticity verification is successful. According to the present disclosure, the accuracy of merchant verification can be improved.