Computer Vision Syringe Dosage Estimation Under Variable Field Conditions
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Solution Overview
Problem
Paramedics face challenges in ensuring accurate medication dosage administration in uncontrolled settings, where lighting and syringe positioning vary, making it difficult to verify the correct dosage before administration and maintain precise electronic records.
Innovation Solution
A system and method using computer vision to determine syringe capacity and locate plunger and barrel heads, employing a mathematical model to estimate medication volume, which can be implemented on portable devices like smartphones or smart glasses, and record the data in electronic health records.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional manual verification methods are used to check medication dosage, then the process is simple and requires minimal equipment, but accuracy and reliability deteriorate due to varying lighting conditions and syringe positioning in uncontrolled field settings
Solution Approach 1:
The patent replaces manual visual verification with an automated computer vision system that uses image processing algorithms to detect syringe components and calculate dosage. The system captures images of the syringe and automatically identifies the plunger head and barrel head positions to determine medication volume, eliminating the need for manual measurement while improving accuracy despite varying field conditions.
Solution Approach 2:
The patent introduces an intermediary processing layer between the syringe and the verification decision. The system captures an image of the syringe, processes this visual information through computer vision algorithms to determine dosage, and then uses this calculated information to verify accuracy. This intermediary step transforms the physical syringe into digital data that can be reliably measured and verified.
2Measurement precision
If computer vision-based dosage estimation is implemented, then dosage verification accuracy improves, but the time required for verification increases due to image capture and processing
Solution Approach 1:
The system performs preliminary actions by capturing the syringe image at the moment of preparation, before administration occurs. The computer vision system processes the image and calculates the dosage in advance, allowing the healthcare professional to verify the dosage quickly without delaying the overall administration process. The system is designed to provide rapid verification that fits within the workflow timeline.
3Reliability
If manual recording of medication dosage is used, then the process is straightforward and requires minimal technology, but reliability and traceability deteriorate due to human error and lack of precise documentation
Solution Approach 1:
The system enables self-service by automatically capturing, processing, and recording the dosage information without requiring manual intervention for documentation. The computer vision system independently analyzes the syringe image, calculates the dosage, and prepares the record-keeping data automatically, reducing human error and improving traceability while minimizing the technological burden on the healthcare professional.
4Measurement precision
If image processing algorithms are used to determine syringe capacity and dosage, then dosage estimation accuracy improves, but computational resources and processing complexity increase
Solution Approach 1:
The patent segments the syringe into distinct functional components - the barrel head and plunger head - and processes each separately through the computer vision system. By dividing the complex syringe structure into manageable segments, the system can accurately measure the volume between these points without requiring overly complex algorithms to process the entire syringe at once, thus balancing precision with computational efficiency.
Data Source
AI summary
A system and method for providing information on medication dosage in a syringe prior to administration to a patient comprises determining, from an image of the syringe containing the medication to be administered, a capacity of the syringe; locating, from the image of the syringe, plunger and barrel heads of the syringe; and estimating a dosage volume of the medication in the syringe using a mathematical model based on the capacity of the syringe and using the located plunger and barrel heads as inputs for the mathematical model.