Vehicle Paint Code Detection via Optical Recognition
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Solution Overview
Problem
Consumers face challenges in accurately matching touch-up paint or repair products to their vehicle's original paint color, leading to undesirable aesthetic variances and increased costs due to the lack of convenient and affordable methods for determining the correct paint color.
Innovation Solution
A software application that uses image capture and optical recognition to determine a vehicle's VIN number and subsequently its paint code, allowing users to purchase matching products through an e-commerce platform.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If consumers use traditional methods to match paint color, then they can perform paint repairs, but the color matching accuracy deteriorates leading to undesirable aesthetic variances
Solution Approach 1:
The patent replaces traditional mechanical color matching methods (physical paint swatches, visual comparison) with an optical recognition system using a mobile device camera and image processing algorithms. The system captures an image of the vehicle identification label, automatically extracts the paint code through optical character recognition, and uses this data to identify the exact paint color, thereby achieving high measurement precision without manual intervention.
Solution Approach 2:
The patent creates a digital copy of the paint color information by capturing an image of the vehicle identification label and extracting the paint code through optical recognition. This digital copy is then used to automatically identify the exact paint color specification, eliminating the need for physical color matching and ensuring accurate reproduction of the original paint color.
2Measurement precision
If consumers seek accurate paint color matching services, then color accuracy improves, but the complexity and cost of the process increases
Solution Approach 1:
The patent enables consumers to perform paint color matching themselves using a mobile device they already possess. The system guides users through simple steps: capture an image of the vehicle identification label, and the application automatically processes the image to extract the paint code and identify the color. This self-service approach eliminates the need for specialized equipment or professional service intervention, reducing both device complexity and process complexity while maintaining high accuracy.
Solution Approach 2:
The patent utilizes a mobile device, which is a universal tool already owned by most consumers, to perform multiple functions including camera operation, image processing, optical character recognition, and paint color identification. This multi-functionality approach eliminates the need for specialized paint matching equipment, thereby reducing device complexity while achieving accurate color determination.
3Productivity
If consumers purchase paint products without accurate color information, then the purchasing process is faster, but the paint color matching accuracy deteriorates
Solution Approach 1:
The patent performs color determination actions before the purchasing decision is made. The system automatically extracts the paint code from the vehicle identification label image and identifies the exact paint color specification in advance. This preliminary action provides consumers with accurate color information before they select and purchase paint products, ensuring both high measurement precision and efficient purchasing without the need for trial and error.
Solution Approach 2:
The patent provides immediate feedback to the consumer by displaying the identified paint color and its specification after capturing the vehicle identification label image. This feedback loop allows consumers to verify the color match accuracy before making a purchasing decision, ensuring that the paint color will accurately match their vehicle while maintaining a fast and convenient purchasing process.
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
Enables users to accurately match paint repairs to their vehicle's original color, enhancing aesthetic appeal while providing a convenient and cost-effective solution for purchasing necessary products.
Implementation Method 1
A user may capture an image of a vehicle's vehicle identification (VIL) label with an image capturing device
Implementation Method 2
The optical recognition procedure helps determine the vehicle's vehicle identification (VIN) number. The optical recognition procedure may comprise scanning a coded image, such as a bar code or a QR code, on the VIL label to decipher a corresponding string of alphanumeric characters
Data Source
AI summary
A method and apparatus for determining the color of paint on a vehicle whereby a user may buy corresponding products. An image of a vehicle's identification (VIL) label is captured and transferred to an application on a computer device. An optical recognition procedure is performed on the image to determine the vehicle's vehicle identification (VIN) number. The vehicle's manufacture information helps determine the location of a paint code zone on the VIL label. A zonal optical recognition procedure is performed on the VIL label to extract a paint code from the paint code zone. Alternatively, a list of colors in which the particular vehicle was manufactured is determined based on the vehicle's manufacture information. The user may select the color of his vehicle from the list to identify the correct color. The user may selectively purchase products corresponding to the determined color of paint.