Voice-Guided Navigation With Real-Time Obstacle Route Adaptation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional guidance systems for visually impaired individuals, such as guide dogs and traditional navigation devices, lack the ability to dynamically detect obstacles, adapt navigation routes in real-time, and provide context-aware guidance, leading to unsafe and inefficient mobility.
Innovation Solution
A system that includes a processor to recognize user instructions, capture environmental images, analyze obstacles and elevation changes, calculate optimal routes, and communicate with a server for real-time updates, while integrating user feedback for continuous improvement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional navigation devices are used, then the system is simple and easy to operate, but the system cannot dynamically detect obstacles or adapt routes in real-time
Solution Approach 1:
The patent combines multiple previously separate functions into a unified navigation system: obstacle detection (using cameras and sensors), real-time route calculation, environmental analysis, and user guidance are merged into a single integrated system. This allows the system to achieve high reliability through comprehensive functionality while managing complexity through unified architecture and centralized processing.
Solution Approach 2:
The navigation system is designed to perform multiple functions simultaneously: it detects obstacles, analyzes environmental conditions, calculates optimal routes, provides real-time guidance, and adapts to changing conditions. This multi-functional design enables a single system to replace multiple separate devices, improving overall reliability while maintaining operational simplicity for the user.
2Adaptability or versatility
If guide dogs are used, then the system provides simple guidance, but the system has limited capacity for dynamic hazard detection
Solution Approach 1:
The patent replaces the biological system (guide dog) with an electronic and computational system that uses cameras, sensors, processors, and AI algorithms to detect and respond to hazards. This substitution enables superior adaptability through real-time image processing, environmental analysis, and dynamic route recalculation, while reducing operational complexity through automated functions that do not require extensive training.
Solution Approach 2:
The system continuously captures environmental data through cameras and sensors, processes this information in real-time, and automatically adjusts navigation routes based on detected obstacles and hazards. This closed-loop feedback mechanism enables high adaptability to dynamic conditions without requiring complex manual intervention or training.
3Loss of information
If traditional navigation devices are used, then the device is simple to operate, but the device cannot provide real-time, context-aware guidance
Solution Approach 1:
The system performs preliminary environmental analysis by continuously capturing images and data before navigation decisions are required. It pre-processes environmental information, identifies potential hazards in advance, and prepares multiple route options, enabling context-aware guidance without adding operational complexity for the user during critical moments.
Solution Approach 2:
The patent introduces an intelligent processing intermediary that sits between the raw sensor data and the user interface. This intermediary component analyzes environmental context, interprets obstacles and hazards, and translates complex data into simple, actionable guidance for the user, thereby preserving context-awareness while maintaining operational simplicity.
Data Source
AI summary
A system includes a processor that recognizes instructions provided by a user via voice input, captures images of the surrounding environment, analyzes acquired image data to identify obstacles and elevation changes, calculates an optimal route to a user's destination, controls movement based on the calculated route, transmits user instructions recognized by the voice recognition means as well as data analyzed by the image analysis means to a server and receives instructions from the server, and notifies the user of instructions received from the server by voice.