Onboard Camera System for Automatic Fare Settlement
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Solution Overview
Problem
Current methods for determining a user's trip in public transportation are inefficient during peak hours, particularly due to the time required for card swiping and manual calculations, leading to line queuing and inaccurate fare calculations.
Innovation Solution
A method and device that acquire global images to track user movement paths within vehicles, using tracking features and travel information to automatically determine trip start and end points, enabling efficient and accurate trip determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If card payment or cash payment is used for fare settlement, then the user can complete the payment process, but the response time of the payment device causes line queuing and blocking during peak hours
Solution Approach 1:
The patent replaces the mechanical card-swiping system with an optical recognition system using cameras and image processing algorithms. The system captures images of users, extracts facial features, and automatically identifies individuals to determine their trip information, eliminating the need for physical card interaction and cash handling.
Solution Approach 2:
The system enables automatic trip determination and fare calculation without requiring user interaction with payment devices or attendant intervention. The onboard computer automatically processes user identification, tracks movement paths, calculates fares, and completes settlement, allowing the system to serve itself without human involvement in the payment process.
2Measurement precision
If the attendant manually determines the user's trip and calculates the fare, then the fare can be determined, but the process requires more labor costs and is not accurate enough
Solution Approach 1:
The patent replaces the manual attendant operation with an automated computer vision system. Cameras capture user images, image processing algorithms extract facial features, and the onboard computer automatically matches features against a database to identify users and determine their trip information, eliminating manual intervention entirely.
Solution Approach 2:
The system introduces an intermediate image processing and feature matching system between the user and the fare calculation process. The onboard computer acts as an intermediary that automatically processes user identification, tracks movement paths through the vehicle, calculates fares based on predetermined rules, and completes settlement without direct human involvement.
3Ease of operation
If card swiping process is used during peak hours, then fare settlement can be completed, but the process causes line queuing and blocking that reduces operation efficiency
Solution Approach 1:
The patent replaces the mechanical card-swiping process with a non-contact optical recognition system. Cameras capture user images from a distance, and automated image processing instantly identifies users and determines their trip information, eliminating the need for users to physically interact with payment devices and reducing waiting time.
Solution Approach 2:
The system performs preliminary user identification and trip determination automatically as users board the vehicle, before the actual fare settlement is needed. The onboard computer pre-processes user images, extracts facial features, and prepares trip information in advance, so that fare calculation and settlement can occur immediately without causing line queuing.
Data Source
AI summary
The present application provides a method, a vehicular device, and a medium for determining a trip of a user in a vehicle. The method includes acquiring a first global image in the vehicle; determining a tracking feature of the user according to the first global image; determining a movement path of the user in the vehicle according to the tracking feature and at least one second global image in the vehicle; determining the trip of the user based on the movement path and travel information of the vehicle.