Wearable Camera Navigation With AI Audio Hazard Feedback

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Solution Overview

Problem

Conventional navigation aids fail to provide timely and accurate environmental feedback based on a user's visual surroundings and location, posing challenges for individuals with visual impairments or other risks, particularly in sensing dangers such as traffic signals, obstacles, or changes in their path.

Innovation Solution

A system utilizing a wearable camera and GPS to capture image and location data, transmitting this information to a server for analysis, and generating real-time, context-sensitive audio feedback using generative AI models to guide users safely.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional navigation aids are used, then users can receive basic navigation guidance, but they fail to provide timely and accurate environmental feedback based on user's visual surroundings and location

Engineering Contradiction:

Improveenvironmental feedback accuracyVSAvoidenvironmental context information

Core Design Contradiction:

Measurement precisionVSLoss of information

Solution Approach 1:

The system continuously captures image data and location information, analyzes them through object detection and map matching, then provides real-time feedback to users about their environment, enabling them to navigate safely and independently

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The server acts as an intermediary that receives raw sensor data from the wearable device, processes it through object detection and location analysis, and converts it into meaningful environmental feedback for the user

Inventive Principle:

Principle #24Intermediary (Mediator)

2Speed

If real-time image analysis is performed locally, then response time is reduced, but computational resources and processing power requirements increase significantly

Engineering Contradiction:

Improvefeedback response timeVSAvoidprocessing system complexity

Core Design Contradiction:

SpeedVSDevice complexity

Solution Approach 1:

The system divides processing into two segments: lightweight local processing for data collection and transmission, and heavy computational processing for object detection and analysis is performed remotely by the server, optimizing both response time and device requirements

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent replaces complex local computational processing with cloud-based server processing, substituting the mechanical system of powerful local processors with a networked cloud computing architecture

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Reliability

If detailed environmental analysis is provided, then user safety is improved, but data transmission requirements and network bandwidth consumption increase

Engineering Contradiction:

Improveuser safetyVSAvoiddata transmission volume

Core Design Contradiction:

ReliabilityVSQuantity of substance

Solution Approach 1:

The system extracts only the essential information needed for safety (object types, locations, potential hazards) from the full image data, transmitting and processing only these key features rather than the complete visual information

Inventive Principle:

Principle #2Taking out (Extraction)

Data Source

PatentUS20260051171A1System

Publication Date: 2026.02.19 SOFTBANK GROUP CORP

AI summary

A system includes a processor that acquires image data using a camera worn by a user, acquires location information, transmits the image data and the location information to a server via a communication network, causes the server to analyze the image data and the location information, causes the server to generate feedback for the user based on the analysis result, transmits the feedback to the user via the communication network, and outputs the feedback as audio.