Smartphone Monitoring for Former Convict Driving Verification
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Solution Overview
Problem
Current systems fail to effectively prevent individuals convicted of intoxication-related offenses from operating a motor vehicle, as they only restrict the individual's own vehicle and can be easily circumvented by using a friend's or rented vehicle, and lack biometric verification to ensure the correct person is using the breathalyzer.
Innovation Solution
A monitoring system that uses RFID or biometrics to verify the identity of the individual upon detecting excessive speed, integrates with ride-sharing apps to determine if the person is a passenger, and alerts authorities if the individual is likely driving, employing image recognition and other verification methods to ensure accurate detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a breathalyzer system is integrated with a vehicle's starting apparatus to prevent intoxicated individuals from operating their own vehicle, then the reliability of preventing intoxication-related offenses is improved, but the system can be easily circumvented by using a friend's or rented vehicle, reducing its effectiveness
Solution Approach 1:
The system transitions from being vehicle-specific to person-specific by incorporating biometric verification. The breathalyzer and RFID verification system are no longer tied to a single vehicle but follow the restricted individual across any vehicle, making the prevention system universal and applicable to all vehicles the individual might attempt to operate.
Solution Approach 2:
An RFID verification system acts as an intermediary between the restricted individual and the breathalyzer system. The RFID tag in the individual's implant or device must be verified before the breathalyzer can be activated, creating a layered verification process that prevents unauthorized use and circumvention.
2Ease of operation
If traditional breathalyzer systems are used without biometric verification, then the ease of operation is improved, but the system cannot ensure the correct person is using the breathalyzer, reducing measurement precision
Solution Approach 1:
Biometric verification via RFID is performed before the breathalyzer test is administered. The system preliminarily verifies the identity of the individual through RFID authentication, ensuring that the correct person is tested without adding significant complexity to the overall process.
Solution Approach 2:
The RFID verification system is nested within the breathalyzer system. The RFID authentication is a preliminary step that must be completed before the breathalyzer can function, creating a nested structure where one verification system is embedded within another.
3Device complexity
If no monitoring system is in place for former convicts, then the device complexity is reduced, but the ability to detect and measure intoxication-related violations is insufficient
Solution Approach 1:
The system incorporates real-time monitoring and feedback mechanisms. When a restricted individual's vehicle exceeds a predetermined speed threshold, the system automatically triggers verification processes and can alert authorities, creating a feedback loop that actively detects and responds to potential violations.
Solution Approach 2:
The monitoring system dynamically activates based on vehicle speed. Rather than continuously monitoring all vehicles, the system becomes active only when a restricted individual's vehicle exceeds a predetermined speed threshold, making the monitoring process dynamic and responsive to actual risk conditions.
Data Source
AI summary
A system and method are disclosed for preventing a restricted individual from operating a motor vehicle. The system monitors a speed of the individual via a smart device associated with the individual. The system activates a monitoring function based on a detected speed of the device, which may evidence the individual riding in a motor vehicle. The system them verifies that the user of the device is the restricted individual through a variety of different identification methods. Once identified, the system accesses various data sources associated with one or more ride applications running on the smart device in order to determine whether the restricted individual has requested a ride from a third party during a relevant time period. After analyzing the data, a determination is made as to whether the individual is driving, or whether more information is needed.