Imaging System for Medicinal Label Recognition
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Solution Overview
Problem
The secure production of medicinal preparations is challenging due to the risk of errors in component measurement and quantity, especially in prolonged operations, which can lead to serious consequences, particularly with toxic substances like cytotoxics used in cancer treatments, necessitating double visual checks and adherence to 'Good Preparation Practices' for patient safety.
Innovation Solution
An imaging system with processing and scene cameras, integrated with a digital management unit, performs automatic identification and validation of medicinal preparation components, ensuring accurate measurement and quantity through synchronized video streams and optical character recognition, reducing manual errors and optimizing reproducibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If operators work several hours at a time for preparation, then productivity increases, but the risk of errors in composition or quantities increases
Solution Approach 1:
The imaging system provides real-time feedback by capturing images of preparation components, performing automatic recognition and validation against the prescription protocol, and alerting operators to any deviations. This continuous monitoring and feedback mechanism maintains high reliability even during prolonged preparation operations without requiring frequent breaks.
Solution Approach 2:
The patent replaces manual visual verification by operators with an automated imaging and recognition system. The computer vision technology automatically identifies components, reads labels, verifies quantities, and validates preparation steps, substituting human visual inspection with machine-based optical recognition to eliminate human error during extended work periods.
2Reliability
If double visual check is performed manually, then reliability improves, but loss of time increases
Solution Approach 1:
The imaging system performs self-verification by automatically capturing images, recognizing components and quantities, and validating against the prescription protocol without requiring a second operator. The system serves its own verification function, maintaining high reliability while eliminating the time loss associated with manual double-checking by multiple personnel.
Solution Approach 2:
The patent substitutes the manual double visual check process with an automated imaging and recognition system that continuously monitors and validates preparation steps. This mechanical-to-optical substitution maintains verification accuracy while dramatically reducing the time required for quality checks.
3Productivity
If automated recognition system is implemented, then productivity increases, but device complexity increases
Solution Approach 1:
The imaging system is designed as a multi-functional device that performs multiple tasks: capturing images of preparation components, performing optical character recognition on labels, identifying components, verifying quantities, validating against protocols, and providing real-time alerts. This universal system consolidates multiple functions into a single integrated device, managing complexity while maximizing productivity benefits.
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
The system significantly reduces errors in medicinal preparation by providing real-time control and validation, ensuring compliance with 'Good Preparation Practices' and enhancing patient safety through automated identification and validation of components.
Implementation Method 1
the image capture device presenting an optical axis oriented towards the reference face
Data Source
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AI summary
The invention relates to a device (100) for recognising data from information (126) present on an object (124) such as a bottle, a syringe or a vial, comprising: a chamber (118) for receiving the object, having a reference face (128); a chamber (132) for receiving an image-capture device (136), the image-capture device having an optical axis oriented towards the reference face, wherein the chambers have one wall (114) in common, having a target surface (120) arranged so that the optical axis of the capture device intersects the target surface; and a processing unit (146), configured to perform optical character recognition on an image captured by the image-capture device and to generate output data.