Real-Time Rental Customer Qualification via Image Comparison
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems for qualifying rental customers, such as those for car share rentals, are inefficient, requiring lengthy approval processes and membership or pre-qualification, which delays access to rental vehicles.
Innovation Solution
A real-time qualification method and system that allows customers to upload images of their driver's license and a second image via a mobile device, using a processor to compare these images and associated information for quick qualification, without the need for membership or pre-qualification, with the option to perform a dexterity test and include GPS location and timestamp for verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional membership or pre-qualification processes are used, then customer verification reliability is improved, but qualification time increases significantly
Solution Approach 1:
The system performs preliminary actions by capturing the customer's image and driver's license information at the moment of rental request, along with timestamp and GPS location data. This preliminary data collection enables immediate verification without requiring prior membership or pre-qualification processes, thus reducing qualification time while maintaining verification reliability through multiple data points
Solution Approach 2:
The system introduces an automated image comparison process as an intermediary between customer submission and verification. The processor automatically compares the captured customer image with the driver's license photo, using timestamp and GPS location as additional mediators to verify authenticity. This automated intermediary process eliminates manual review delays while maintaining reliable verification
2Measurement precision
If real-time image comparison and multiple verification methods are implemented, then verification accuracy is improved, but system complexity increases
Solution Approach 1:
The processor is designed with multi-functionality to perform multiple verification tasks: comparing customer images with driver's license photos, validating timestamps, verifying GPS locations, and checking dexterity test results. This universal processor handles all verification functions within a single integrated system, improving verification accuracy through multiple methods while avoiding the complexity of separate dedicated systems for each verification function
Solution Approach 2:
The system implements self-service verification by automatically comparing images and validating data without requiring manual intervention. The automated comparison process, timestamp validation, and GPS verification all occur without human input, improving verification accuracy through consistent automated checks while reducing operational complexity by eliminating manual review steps
3Productivity
If automated real-time processing is implemented, then processing speed is improved, but verification thoroughness may be compromised
Solution Approach 1:
The system maintains continuous verification action by simultaneously performing multiple checks: image comparison, timestamp validation, GPS location verification, and dexterity test assessment all occur in continuous parallel processing. This continuous multi-faceted verification ensures thoroughness is maintained while achieving real-time processing speed, as all verification actions occur without interruption or sequential delays
Data Source
AI summary
A method and system for real-time qualification of rental customers allows a rental company to quickly qualify a customer making an online reservation of a rental vehicle, such as a car share rental, without requiring the customer to be a member or have a membership or to be pre-qualified. The system includes: a database operative to store account information associated with a customer for a rental transaction; an input component operative to receive from the customer an uploaded image of the customer's driver's license and an uploaded second image of the customer; and a processor operative with the database to use the uploaded driver's license image, the uploaded second image and information associated with the uploaded second image to qualify the customer for a rental transaction. The system can compare the customer's driver's license image to the uploaded second image of the customer and qualify the customer for the rental transaction if the second image is uploaded within a pre-defined time before the rental time period begins. The information associated with the second uploaded image of the customer can include a timestamp associated with the second uploaded image and/or a GPS location associated with the uploaded image.