AI Imaging for Medical Appliance Sanitizing and Soiling Detection
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Solution Overview
Problem
Existing RFID-based data acquisition systems for medical or dental sanitizing and maintenance devices suffer from variability in reading range due to metallic components, leading to unreliable data capture and inability to provide current data on medical or dental appliances.
Innovation Solution
Implement an imaging device and an artificial intelligence module, preferably using a trained neural network, to capture images of medical or dental appliances and determine their type and soiling, enabling precise control of sanitizing and maintenance procedures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If RFID reader is used to read data from medical or dental appliances, then data acquisition is enabled, but reading range variability occurs due to metallic components affecting reliability
Solution Approach 1:
The patent replaces the RFID electromagnetic field-based detection system with an imaging device (camera) that captures visual images of the appliance. This substitution eliminates the interference caused by metallic components on the reading range, as optical imaging is not affected by metal in the same way electromagnetic fields are. The imaging device provides consistent and reliable data acquisition regardless of the appliance's metallic content.
Solution Approach 2:
The patent introduces an image processing algorithm as an intermediary between the imaging device and the control system. The algorithm processes the captured images to extract appliance identification information and soiling characteristics, replacing the direct RFID data reading process. This intermediary layer ensures reliable data acquisition by converting visual information into actionable data without being affected by metallic interference.
2Loss of information
If RFID tags store data on medical or dental appliances, then data storage is enabled, but only old historical data can be provided rather than current data
Solution Approach 1:
The patent applies preliminary action by capturing images of the appliance's current state (including soiling conditions) before the sanitizing process begins. The imaging device records real-time visual information about the appliance's condition, ensuring that current data is available for processing. This eliminates the delay inherent in RFID systems that rely on pre-stored historical data.
Solution Approach 2:
The appliance itself serves as the source of current data through its visual appearance. The imaging device captures images that reveal the appliance's current identification markers and soiling state directly, without requiring external data storage tags. The system reads current information directly from the appliance's visual characteristics rather than relying on stored historical data.
3Area of stationary object
If RFID reader reading range is extended to capture more appliances, then detection coverage is improved, but risk of misidentifying appliances not intended for treatment increases
Solution Approach 1:
The patent applies local quality by using image processing to selectively identify and analyze specific regions within the captured image. The algorithm focuses on local features such as identification markers, labels, or unique visual characteristics of the intended appliance, rather than attempting to read all objects in the detection area. This allows wide detection coverage while maintaining high identification accuracy by concentrating analysis on the relevant local area.
Solution Approach 2:
The system uses feedback mechanisms where the image processing algorithm continuously refines its identification based on the captured visual data. The control unit receives processed information from the imaging device and can adjust the field of view or processing parameters to ensure accurate identification. This feedback loop prevents misidentification by verifying that the detected appliance matches the intended target before proceeding with treatment.
Data Source
AI summary
A medical or dental sanitizing and/or maintenance device for sanitizing and/or maintaining a medical or dental appliance, having: an imaging device to capture images of the appliance, and a trained artificial intelligence module to recognize the appliance based on the images from the imaging device and to output data on the recognized appliance, so that the control unit controls a sanitizing and/or maintaining procedure of the sanitizing and/or maintenance device based on the provided output data. Alternatively, or in addition, the trained artificial intelligence module determines the soiling of the appliance based on the images and outputs data on the soiling, so that the control unit controls a sanitizing and/or maintaining procedure of the sanitizing and/or maintenance device based on the data on the soiling.