Anti-Fare Evasion System Using Facial Recognition
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Solution Overview
Problem
Public transportation systems face challenges in monitoring passengers to ensure they have paid the correct fare, especially in vehicles with multiple entry and exit points, leading to fare evasion due to the difficulty in tracking passengers effectively without constant supervision.
Innovation Solution
A system utilizing cameras and facial recognition software to detect and identify passengers, track their movement, and determine fare compliance, with data transmitted to a central processor and displayed on a mobile device for conductors, allowing real-time monitoring of fare payment status.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conductors manually patrol the vehicle to check tickets, then fare compliance can be monitored, but the system complexity and labor requirements increase
Solution Approach 1:
The system enables automatic self-monitoring of fare compliance through detectors that automatically detect passengers, scan tickets, perform facial recognition, and determine compliance status without requiring manual conductor intervention for each check
Solution Approach 2:
The manual mechanical patrolling system is replaced with an automated electronic monitoring system using detectors, computer systems, and indicator devices that automatically track passengers and verify fare compliance
2Productivity
If multiple detectors and processing systems are deployed for automatic monitoring, then fare evasion is reduced, but the device complexity increases
Solution Approach 1:
The monitoring system is divided into distinct functional modules: detectors for passenger detection, computer systems for data processing and facial recognition, and indicator devices for displaying compliance status, allowing each component to be optimized independently
Solution Approach 2:
The indicator device serves multiple functions including receiving compliance data, determining overall compliance status, and displaying information to both conductors and passengers, reducing the need for separate dedicated devices for each function
3Reliability
If real-time tracking of all passengers is implemented, then fare evasion is detected more effectively, but the loss of time for data processing increases
Solution Approach 1:
The system performs preliminary facial recognition and ticket scanning when passengers board, establishing their compliance status before the journey begins, so that real-time monitoring only requires checking pre-processed data
Solution Approach 2:
The system continuously provides feedback through indicator devices that display compliance status, allowing immediate identification of non-compliant passengers without requiring comprehensive re-analysis of all passenger data
Data Source
AI summary
A system for monitoring passengers on a vehicle includes one or more detectors for detecting passenger data including one or more passenger identification properties. A computer system receives data from the detectors and uniquely identifies each passenger based on the one or more passenger identification properties. A device receives fare data indicative of whether a passenger has paid the correct fare, and uses the fare data, passenger identity and passenger data from the computer system to indicate which passengers have paid the correct fare.