3D Feature Detection for Electronic Visitation Identity Verification
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Solution Overview
Problem
In controlled-environment facilities, verifying the presence and identity of individuals during electronic visitations, such as video or telephone visits, is challenging, especially without visual confirmation, as unauthorized individuals can impersonate authorized visitors, and it is difficult to confirm if an actual person is participating in the visitation.
Innovation Solution
Implementing a system that uses an image capture device to capture images of users during electronic visitation sessions, performing a 3D feature detection process to verify the presence of a corporeal human face, and optionally conducting facial recognition to confirm the user's identity, ensuring that only authorized and actual persons can participate in the visitation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If identification documents and visual confirmation are used for in-person visitation, then identity verification reliability is improved, but device complexity and operational difficulty increase for electronic visitation systems
Solution Approach 1:
The patent replaces manual mechanical identification processes (physical ID documents, visual inspection by staff) with automated electronic systems that use image capture devices, 3D feature detection algorithms, and facial recognition technology to verify identities during electronic visitations
Solution Approach 2:
The system enables automated self-verification where the visitation system itself performs identity confirmation through captured images and algorithmic analysis, eliminating the need for manual staff verification and reducing operational complexity
2Ease of operation
If personal identification numbers and pass codes are used for telephone or video visitation, then ease of operation is improved, but reliability of verifying actual person presence deteriorates
Solution Approach 1:
The patent introduces an intermediary verification layer between the simple pass code entry and the actual visitation connection. The system captures an image of the person entering the pass code and uses 3D feature detection and facial recognition to verify that the person is indeed the authorized visitor before allowing the visitation to proceed
Solution Approach 2:
The system creates a digital copy (captured image) of the person presenting themselves and analyzes this copy using 3D feature detection and facial recognition algorithms to verify identity, rather than relying solely on the person providing identification information verbally or through code
3Reliability
If 3D feature detection and facial recognition processes are implemented, then presence and identity verification reliability is improved, but device complexity and processing requirements increase
Solution Approach 1:
The patent performs 3D feature detection and facial recognition analysis in advance before the electronic visitation connection is established. The system captures the image, extracts facial features, and verifies identity beforehand, ensuring that only authorized persons can initiate the visitation session
Solution Approach 2:
The verification process is segmented into distinct stages: image capture, 3D feature detection, facial recognition matching, and authorization decision. This segmentation allows each component to be optimized independently and makes the overall complex system more manageable and maintainable
Data Source
AI summary
Images of residents of a controlled-environment facility may be captured at the time of intake into the facility. A feature detection process may be performed on each image to verify that corporeal facial features are present in each resident image and a copy of such an image of each resident may be saved. A request to initiate an electronic visitation session may be received and an image of a user is captured. A feature detection process is performed on the captured image to verify that images of features of a corporeal human face are present in the captured image, determining whether an image of a corporeal human face is present in the captured image. The electronic visitation session may then be connected in response to a determination that an image of a corporeal human face is present. Further, a facial recognition process may also be performed on the captured image.