Inverse Color Illumination for Accurate Medication Imaging in Amber Vials
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Solution Overview
Problem
The increasing demand for prescription drugs and the shortage of licensed pharmacists lead to pharmacists spending more time on administrative tasks, increasing the likelihood of prescription errors, as existing visual verification methods struggle with distinguishing between visually similar medications and are hindered by the use of amber-colored vials that affect image accuracy.
Innovation Solution
A method of illuminating transparent containers with light of a color inverse to the container's color, allowing for accurate image capture of objects inside, such as pharmaceuticals, by canceling out the container's color and enabling accurate color representation of the objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional white light illumination is used to image medications in amber vials, then the imaging system can capture the medications, but the amber color of the vial distorts the color accuracy of the captured images
Solution Approach 1:
The patent changes the illumination parameter by using light with a specific color temperature (e.g., blue light around 450-480nm) that is complementary to the amber color of the vial. This parameter change in illumination wavelength compensates for the color distortion introduced by the amber container, allowing accurate color representation of the medications inside.
Solution Approach 2:
The patent converts the harmful effect of the amber vial's color distortion into a benefit by selecting an illumination color that, when passed through the amber material, produces a neutral or corrected color output. The amber vial's filtering effect is exploited to cancel out its own color distortion, transforming the problem into a solution.
2Reliability
If pharmacists manually verify each prescription visually, then prescription errors can be detected, but the process is time-consuming and reduces pharmacy productivity
Solution Approach 1:
The patent replaces the mechanical/manual verification process with an automated optical imaging system. A camera captures images of medications in their containers, and software automatically compares these images against a database of correct medication appearances, eliminating the need for manual visual inspection by pharmacists.
Solution Approach 2:
The patent creates digital copies (images) of the medications as they appear in their containers and compares these copies against reference images in a database. This copying and comparison process enables automated verification without requiring physical handling or manual inspection of each medication.
3Measurement precision
If existing visual verification systems are used, then they can identify medications by comparing images, but they fail when medications are not visually distinct or when bar codes are absent
Solution Approach 1:
The patent utilizes color as a primary identification feature by capturing images under controlled illumination that emphasizes color differences between medications. The system analyzes color profiles and spectral characteristics to distinguish between visually similar medications, shapes, and sizes that conventional systems cannot differentiate.
Solution Approach 2:
The patent moves from two-dimensional bar code verification to three-dimensional color and texture analysis. By capturing full-color images and analyzing multiple color channels (RGB or spectral data), the system adds dimensional information that enables differentiation of medications based on subtle color variations, surface textures, and three-dimensional appearance characteristics.
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
This approach enables accurate color identification of medications within amber vials without opening them, reducing prescription errors and improving pharmacy efficiency by providing a reliable visual verification system.
Implementation Method 1
illuminating the container and the object with light of a second color, the second color being substantially the inverse of the first color
Data Source
AI summary
A method of producing an image of an object residing inside a transparent container of a first color includes: illuminating the container and the object with light of a second color, the second color being substantially the inverse of the first color; and producing an image of the object through the container. An image produced by this method can exhibit substantially the same color as the object itself, even when the image is taken through a colored transparent wall.