Metaverse Virtualized Imaging for Privacy-Safe IP Camera Monitoring
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Solution Overview
Problem
The use of IP cameras for surveillance raises concerns about privacy invasion due to the transmission of captured images over networks, which can lead to hacking and unauthorized access.
Innovation Solution
A method and system that captures images with an IP camera, stores them locally, and uses a cloud server to recognize faces and objects, virtualizing them into characters and objects through AI algorithms, generating virtualized images that are shared via terminals, thus protecting privacy by not transmitting actual faces or objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If captured images are transmitted over network for surveillance purposes, then remote monitoring capability is improved, but privacy security deteriorates due to hacking and unauthorized access risks
Solution Approach 1:
The patent introduces a cloud server as an intermediary between the IP camera and user terminals. The camera captures images and transmits them to the cloud server, which then processes and relays the images to authorized users. This intermediary architecture enables remote monitoring while centralizing security control, allowing the system to authenticate users and manage access rights centrally, thereby reducing unauthorized access risks compared to direct peer-to-peer connections.
Solution Approach 2:
The patent creates virtualized copies of real-world objects and persons captured in images. Instead of transmitting and displaying actual images containing personal information, the system generates virtual representations (avatars, virtual objects) that replicate the visual appearance without preserving identifiable features. This copying approach maintains the surveillance functionality and remote monitoring capability while eliminating privacy security risks by removing personally identifiable information from transmitted data.
2Adaptability or versatility
If actual captured images are shared externally, then interaction and sharing convenience is improved, but privacy invasion risk increases
Solution Approach 1:
The patent applies virtualization to create copy representations of real objects and persons. The system processes captured images through AI algorithms to generate virtual avatars and virtual objects that preserve visual characteristics for sharing purposes while removing all personally identifiable information. These virtualized copies can be freely shared across platforms and devices, enabling versatile interaction and sharing convenience without the privacy invasion risks associated with sharing actual captured images containing real personal data.
Solution Approach 2:
The patent extracts and removes personally identifiable information from captured images before external sharing. The system separates the visual content (which can be shared) from the identifying features (which are removed or virtualized). By taking out the harmful personal information elements while retaining the useful visual interaction aspects, the system enables convenient external sharing of surveillance content without privacy invasion risks.
Data Source
AI summary
The present disclosure provides a method of providing a metaverse-based virtualized image, the method including capturing an image in real time via an IP camera, storing the captured image, recognizing at least one face and object from the captured image, virtualizing the recognized at least one face and object, and outputting a virtualized image information including a virtualized character and a virtual object.