Facial Trust Anchors and Dynamic Passkeys for Spatial IoT Transactions

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Solution Overview

Problem

Spatial computing devices, such as AR and VR headsets, lack robust security features, leading to vulnerabilities in transactions due to inadequate password security, inconsistent security protocols, and susceptibility to unauthorized access and data breaches.

Innovation Solution

Implementing a trust-based passkey system using facial biometrics and LiDAR technology to generate dynamic passkeys tied to user biometric scores and spatial context, enabling secure transactions through facial trust anchors.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional password entry methods are used on spatial computing devices, then ease of operation is maintained, but security reliability deteriorates due to susceptibility to unintended access and environmental factors

Engineering Contradiction:

Improvepassword securityVSAvoidauthentication convenience

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The patent replaces traditional mechanical password entry methods with biometric authentication using facial recognition and LiDAR technology. The system captures facial images, extracts feature vectors, and compares them against stored templates to authenticate users, eliminating the need for manual password typing and reducing susceptibility to environmental factors like background noise and visual distractions.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent changes the authentication parameter from discrete password characters to continuous biometric facial features. By extracting feature vectors from facial images and comparing them against stored templates, the system creates a more reliable authentication mechanism that is difficult to replicate or intercept, while maintaining ease of use through automatic facial recognition.

Inventive Principle:

Principle #35Parameter changes

2Ease of operation

If gesture-based or voice-activated password inputs are used, then ease of operation improves, but security reliability worsens due to susceptibility to unintended access from ambient environmental factors

Engineering Contradiction:

Improveauthentication convenienceVSAvoidpassword security

Core Design Contradiction:

Ease of operationVSReliability

Solution Approach 1:

The patent replaces gesture-based and voice-activated authentication with facial biometric recognition. The system uses LiDAR to capture three-dimensional facial geometry and extracts unique feature vectors that serve as authentication credentials. This substitution eliminates the vulnerabilities of gesture and voice recognition, which can be inadvertently triggered by ambient movements or sounds, while maintaining ease of operation through automatic facial detection and recognition.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Reliability

If no standardized security protocols are implemented, then device complexity is reduced, but security reliability deteriorates due to inconsistencies across different devices and platforms

Engineering Contradiction:

Improvesecurity protocol consistencyVSAvoidsecurity implementation

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent implements a universal security protocol that can be applied across different spatial computing devices and platforms. The system uses standardized facial recognition algorithms and LiDAR-based feature extraction that work consistently across various hardware configurations. By establishing a common authentication framework with standardized feature vector comparison methods, the patent achieves protocol consistency without requiring complex device-specific security implementations.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enhances transaction security by providing seamless and reliable authentication, ensuring transparency and accuracy in user trust verification, reducing the risk of unauthorized access and data breaches.

Implementation Method 1

The LiDAR analyzer may be configured to generate a map from mapping an environment surrounding the spatial computing IoT device

Methodology Applied

Scientific EffectLiDAR: LIDAR

Data Source

PatentUS12483403B2Intelligent method to orchestrate transactions on spatial computing internet-of-things (“IoT”) device on facial trust anchors and passkey

Publication Date: 2025.11.25 BANK OF AMERICA CORP

AI summary

Method and apparatus for processing and executing a user transaction using a spatial computing Internet-of-Things (“IoT”) device. The method and apparatus may include generating a map from mapping an environment surrounding the spatial computing IoT device. The method and apparatus may include identifying an image of a face on the map. The method and apparatus may include retrieving user identifier information (“UII”) of the face. The method and apparatus may include storing UII in pixels on the face. The method and apparatus may include using UII as a public key. The method and apparatus may include using trust score colors as a private key. The method and apparatus may include executing, using the private key and the public key as a dynamic passkey, a transaction requested by a user associated with the spatial computing IoT device. The transaction may be associated with the user associated with the identified face.