Vision System Color Correction for Amber Vial Verification
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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 due to reliance on visual verification methods that are inaccurate for visually similar medications and hindered by the use of amber-colored vials, which complicate the identification of pharmaceuticals within capped containers.
Innovation Solution
A method involving a vision system that identifies the transition section of a pharmaceutical vial, detects its color, and adjusts the illumination and image acquisition to ensure accurate imaging and comparison with pre-stored images, allowing for reliable verification of medications within colored, transparent vials.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual verification methods are used to verify medications, then pharmacists can identify medications, but accuracy decreases for visually similar medications and medications in amber-colored vials
Solution Approach 1:
The patent replaces manual visual verification by pharmacists with an automated machine vision system that captures images of medications through transparent containers and uses image processing algorithms to identify and verify medications, eliminating human error in visual comparison
Solution Approach 2:
The patent applies color correction parameters to compensate for the amber tint of containers. The system detects the container color and adjusts image parameters to neutralize the amber effect, allowing accurate color-based medication identification even through colored transparent containers
2Productivity
If pharmacists spend more time on administrative tasks, then more prescriptions can be processed, but the likelihood of prescription errors increases
Solution Approach 1:
The system enables self-service verification where the machine vision system automatically captures images, processes them through algorithms, compares them against reference images, and verifies medication identity without requiring pharmacist intervention, allowing pharmacists to focus on patient care while maintaining verification accuracy
Solution Approach 2:
The patent replaces the manual verification process with an automated machine vision system that performs image capture, processing, and comparison, eliminating the need for pharmacists to manually verify each prescription while maintaining or improving accuracy
3Reliability
If amber-colored vials are used to protect medications, then medication stability is improved, but visual identification of medications becomes more difficult
Solution Approach 1:
The patent detects the amber color of the container and applies compensatory color correction parameters to the captured images. This neutralizes the amber tint effect, allowing the vision system to accurately identify medication colors and characteristics even through amber-colored transparent containers
Solution Approach 2:
The patent introduces an image processing intermediary layer that sits between the amber container and the final medication identification. This processing layer corrects for the amber tint before the system makes identification decisions, effectively acting as a mediator that preserves both the protective function of amber containers and the accuracy of visual identification
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 enhances the reliability and consistency of medication verification by adjusting images based on the vial's color, improving accuracy and reducing errors associated with visually similar medications and amber-colored vials, thereby reducing the risk of adverse drug events and administrative burdens on pharmacists.
Implementation Method 1
detecting the color of the transition section
Data Source
AI summary
A method of acquiring an image of a pharmaceutical in a colored, transparent pharmaceutical vial includes the steps of: providing a generally cylindrical, colored, transparent pharmaceutical vial having a closed lower end, the lower end having a radially outward lower section, a radially inward upper section, and a transition section that merges with the upper and lower sections; identifying the transition section of the vial with a vision system; detecting the color of the transition section; illuminating the vial; acquiring an image of the vial and pharmaceutical; and adjusting the colors of the image based on the color of the transition section. In some embodiments, the method further comprises the step of comparing the image to a pre-stored image of an expected pharmaceutical to determine whether the identity of the pharmaceutical in the vial matches the identity of the expected pharmaceutical. This method can improve the reliability and consistency of the images produced.