Offline Smartphone Image Extraction for Specific Person Identification
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Solution Overview
Problem
Existing Internet-based photographic image extraction systems face challenges in efficiently finding specific person images from a large number of photographs without internet connectivity, leading to potential security risks and time-consuming manual searches.
Innovation Solution
A photographic image extraction apparatus and method that captures images of multiple photographs, analyzes them to extract images likely containing a specific person, and displays the results, allowing offline browsing and ordering without internet connection, using a smartphone with features like facial recognition and digital watermarks for identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If Internet-based photograph ordering system is used, then photograph ordering convenience is improved, but information security deteriorates due to potential leakage of registered information
Solution Approach 1:
The invention extracts the core functionality of photograph ordering from the Internet-based system and implements it as a standalone offline system. The apparatus captures images locally, performs facial recognition analysis locally, and enables ordering without Internet connectivity, thereby extracting the essential ordering function while eliminating the security vulnerability of data transmission and storage on remote servers.
Solution Approach 2:
The invention introduces an offline image capture apparatus as an intermediary device between the photographs and the ordering system. This intermediary performs local image capture, stores captured images locally, conducts facial recognition analysis locally, and enables ordering through local operations, thereby mediating the interaction without requiring Internet connection and preventing information leakage to external systems.
2Ease of operation
If manual selection from posted photographs is used, then ease of operation for non-PC users is improved, but time consumption deteriorates when many photographs are posted
Solution Approach 1:
The invention enables the system to perform automatic facial recognition analysis without requiring user intervention in the search process. The apparatus automatically captures images of posted photographs, analyzes them using facial recognition technology, and identifies photographs containing the specific person, thereby providing self-service functionality that eliminates manual browsing while maintaining ease of operation.
Solution Approach 2:
The invention replaces the mechanical manual browsing process with automated optical and computational systems. Instead of manually examining each photograph, the system uses image capture devices to photograph the posted images, employs facial recognition algorithms to automatically analyze and identify relevant photographs, and presents results to the user, thereby substituting manual mechanical search with automated technological processes.
3Object-affected harmful factors
If offline photograph browsing is implemented, then information security is improved by avoiding Internet connection, but productivity deteriorates due to manual search requirements
Solution Approach 1:
The invention replaces manual search mechanics with automated facial recognition technology in the offline environment. The apparatus automatically captures images of posted photographs, uses facial recognition algorithms to analyze the captured images, and quickly identifies photographs containing the specific person, thereby maintaining information security through offline operation while dramatically improving search productivity through automation.
Solution Approach 2:
The invention changes the operational parameters of the offline browsing system by introducing automated image capture and facial recognition analysis. Instead of manual visual inspection, the system captures digital images of photographs and analyzes them using computational algorithms, thereby transforming the search process from a slow manual operation to a rapid automated process while maintaining offline security.
Data Source
AI summary
A photographic image extraction apparatus according to the invention is applied to a smartphone. The smartphone includes an image capture unit that captures images of a plurality of photographs, a photographic image extraction unit that analyzes a plurality of photographic images that are the captured images of the plurality of photographs and extracts, from the plurality of photographic images, one or more photographic images having a high likelihood of containing an image of a specific person, and an extraction result display unit that displays a result of extraction by the photographic image extraction unit.