Guidance System Using Image Recognition for Ride Suitability
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Solution Overview
Problem
Existing route search systems do not effectively alleviate user anxiety when using unfamiliar public transportation, particularly for foreign tourists, as they may be uncertain about vehicle stop locations, usage rules, and payment methods, even when provided with arrival times and travel durations.
Innovation Solution
A guidance system that uses image recognition on user-provided images to identify vehicle information and determine its suitability for reaching the intended destination, offering ride suitability feedback to the user, thereby reducing anxiety factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a route search system provides basic route guidance information (arrival time, travel duration), then the system can operate with simple structure, but it cannot effectively reduce user anxiety about unfamiliar vehicles
Solution Approach 1:
The patent introduces an intermediary mechanism where a camera captures images of the vehicle, and an image recognition system automatically identifies vehicle information and provides guidance. This intermediary approach allows the system to provide comprehensive anxiety-reducing information without requiring complex direct interaction interfaces between the user and the guidance system.
Solution Approach 2:
The patent replaces manual vehicle information entry mechanisms with automated image recognition technology. Instead of requiring users to manually input vehicle details or navigate complex information interfaces, the system uses computer vision to automatically identify vehicle characteristics and provide relevant guidance information, thereby reducing operational complexity for the user.
2Reliability
If the system provides detailed vehicle information and guidance, then user anxiety is reduced, but the system becomes more complex
Solution Approach 1:
The patent implements self-service functionality where the system automatically captures vehicle images, performs image recognition, and generates guidance information without requiring user intervention in the information gathering process. The system serves itself by autonomously extracting vehicle details from images and providing relevant guidance, thereby maintaining high reliability while managing system complexity through automation.
Solution Approach 2:
The patent employs feedback mechanisms where the system continuously monitors the vehicle image recognition results and adjusts guidance information accordingly. The system provides real-time feedback to users about vehicle suitability, arrival predictions, and usage instructions based on the recognized vehicle characteristics, enhancing reliability through adaptive response while managing complexity through intelligent feedback loops.
3Ease of operation
If the system automatically identifies vehicle information through image recognition, then ease of operation improves, but measurement precision requirements increase
Solution Approach 1:
The patent applies preliminary action by pre-processing the captured vehicle images to enhance key features and preparing reference databases of vehicle characteristics before the actual recognition task. This preliminary preparation enables the image recognition system to achieve high precision in vehicle identification while maintaining ease of operation for the user, as the complex pre-processing is performed automatically in the background.
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
The system effectively reduces user anxiety by providing clear guidance on whether the identified vehicle is suitable for reaching the intended destination, including information on payment methods and usage rules, thus enhancing the confidence of users in navigating public transportation.
Implementation Method 1
a guidance unit configured to recognize vehicle information on a vehicle from the image data by image recognition
Data Source
AI summary
This guidance system is provided with: an accepting unit which acquires a guidance request including at least a destination and image data from a user terminal; a guidance unit which, on the basis of vehicle information of a vehicle recognized from the image data by image recognition, acquires vehicle related information relating to said vehicle, and with reference to the vehicle related information and the destination, derives a ride suitability indicating whether the vehicle is suitable for traveling to the destination; and a response unit which reports a response including at least the ride suitability derived by the guiding unit to the user terminal.