Mobile Device OCR for Motor Vehicle Verification
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Solution Overview
Problem
Skip tracers lack an efficient and cost-effective method to verify the description of a motor vehicle to determine if the correct vehicle has been located during debt recovery processes.
Innovation Solution
A system and method using a mobile device with a camera, GPS, and OCR capabilities to capture and upload vehicle information, including photographs and user-input data, to a database for comparison with existing records, facilitating accurate verification and potential repossessions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If skip tracers use traditional manual verification methods to verify motor vehicle descriptions, then they can identify vehicles, but the process is time-consuming and costly
Solution Approach 1:
The patent replaces manual mechanical verification processes with automated optical character recognition (OCR) technology. The system captures images of motor vehicles using a camera, processes these images through OCR to extract identifying information such as license plate numbers and vehicle descriptions, and automatically compares the extracted data against database records. This substitution of manual inspection with automated image processing significantly increases verification speed and reduces time loss.
Solution Approach 2:
The patent creates digital copies of motor vehicle information through image capture and OCR processing. Instead of physically inspecting vehicles or manually recording details, the system captures visual images and converts them into digital data representations. These digital copies are then stored and compared against existing database records, enabling rapid verification without repeated physical inspections and reducing overall verification time.
2Reliability
If skip tracers use comprehensive verification methods to ensure accuracy, then verification reliability improves, but system complexity and cost increase
Solution Approach 1:
The patent employs a multi-functional integrated system where a single mobile device performs multiple verification functions. The device combines camera capture, OCR processing, database communication, and data comparison capabilities in one unified system. This universal approach allows the same hardware and software platform to handle various verification tasks (capturing different types of vehicle information, comparing against multiple database records, generating various report formats) without requiring separate specialized systems for each function, thereby maintaining reliability while managing complexity.
Solution Approach 2:
The patent introduces an intermediary processing layer between image capture and final verification decisions. The OCR system acts as an intermediary that converts visual images into structured data, and the database comparison system serves as an intermediary that matches extracted data against recorded information. These intermediary processing steps standardize the verification process, improve accuracy through systematic comparison, and reduce the complexity of direct manual verification by breaking down the overall process into manageable automated stages.
3Measurement precision
If skip tracers use detailed image capture and processing to verify vehicle descriptions, then identification accuracy improves, but the cost and complexity of the system increases
Solution Approach 1:
The patent implements self-service verification where the system automatically captures images, processes them through OCR, extracts identifying information, and compares data against database records without requiring manual intervention at each step. The mobile device autonomously performs the complete verification sequence, and the system self-corrects through automated database matching. This self-service approach improves identification precision through consistent automated processing while reducing implementation costs by eliminating the need for expensive manual verification operations and reducing labor requirements.
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
Provides a simple, cost-effective, and accurate method for verifying motor vehicle information, enabling users to determine if the correct vehicle has been located and guiding further actions such as repossession.
Implementation Method 1
capturing an image of a motor vehicle
Implementation Method 2
a global positioning satellite ('GPS') transceiver for determining the present location of the mobile vehicle
Implementation Method 3
The software program may utilize optical character recognition to extract image data from the photograph onboard the mobile device
Data Source
AI summary
An improved system and method for capturing and uploading pertinent information related to a motor vehicle that is accurate, simple to use, and may be implemented on a wide-array of mobile devices in a cost-effective manner. Methods are also disclosed for users of the mobile devices to send identifying information to a database, where the identifying information is compared to other motor vehicle identifying information located the database.