Treatment Base Object Mapping for Accurate Post-Sintering Repositioning
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Solution Overview
Problem
The existing processes for detecting and repositioning dental objects post-sintering are prone to errors due to manual handling and reliance on operator accuracy, especially when multiple objects are treated together, leading to potential misidentification and incorrect repositioning in their original containers.
Innovation Solution
A simultaneous post-treatment detection process that uses a recognition device with an identification code, coupled with an electronic system for efficient and automated object identification and repositioning, including phases like decoupling, positioning, association, and detection, utilizing visual and optical aids to guide and confirm correct placement and association.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual positioning and mapping is used for multiple objects on a treatment base, then the process can be simple and flexible, but errors in object identification and repositioning occur due to operator accuracy limitations
Solution Approach 1:
The patent replaces the manual mechanical positioning and paper-based mapping system with an automated optical detection system. A detection device with imaging means automatically captures images of objects on the treatment base, and a processing unit automatically identifies objects based on their visual characteristics, eliminating the need for manual drawing and interpretation of paper maps.
Solution Approach 2:
The patent creates a digital copy of the physical treatment base state by capturing images with the detection device. Instead of manually drawing a paper map, the system creates an electronic representation of object positions and characteristics, which can be automatically processed and compared with the initial state to ensure accurate repositioning.
2Measurement precision
If automated detection system is implemented for object identification, then object identification accuracy is improved, but the device complexity increases
Solution Approach 1:
The detection device is designed to perform multiple functions: capturing images of objects, identifying objects based on visual characteristics, determining their positions on the treatment base, and providing feedback for repositioning. This multi-functional approach consolidates what would otherwise require separate devices into a single integrated system.
Solution Approach 2:
The system is designed to autonomously perform the detection and identification process without requiring constant operator intervention. The processing unit automatically analyzes the captured images, identifies objects, and determines their positions, making the system self-sufficient in the detection task.
3Loss of information
If engraving sequential numbers on objects is done for identification, then object traceability is improved, but the object shape is modified and it becomes difficult to engrave on small elements
Solution Approach 1:
The patent replaces the mechanical engraving process with an optical detection approach. Instead of physically modifying objects by engraving numbers, the system uses imaging means to capture visual characteristics of the objects, thereby maintaining their original shape while achieving identification and traceability.
Solution Approach 2:
The detection device utilizes visual characteristics including color, shape, and other optical properties to identify objects. This allows the system to distinguish and track objects based on their inherent visual features without requiring physical modifications like engravings.
4Device complexity
If paper-based mapping is used for tracking objects, then the system remains simple, but human error in drawing and interpretation increases
Solution Approach 1:
The patent replaces the manual paper-based mapping system with an automated digital imaging and processing system. The detection device captures images and the processing unit automatically analyzes object positions and characteristics, eliminating the manual drawing and interpretation steps that are prone to human error.
Solution Approach 2:
The system incorporates feedback mechanisms where the detected object positions and characteristics are processed and compared with the initial state. This feedback loop ensures accurate identification and repositioning by continuously monitoring and verifying object locations, thereby reducing errors.
Data Source
AI summary
A simultaneous post-treatment detection process of a plurality of objects treated and positioned on a treatment base is provided, wherein the objects at first are coupled to a device identified by an identification code, and wherein the process comprises the fact of decoupling each object from the device to prepare the object for the treatment; positioning, before treatment, each object on a treatment base; associating, by recording by means of an electronic computer on a digital storage medium, the code of each device to an allocation position on the treatment base of a respective object at first coupled thereto by one or more phases selected from a phase of indicating the allocation position implemented by means of a visual support adapted to allow a user to display the allocation position on the base, and a phase of recognizing an outline, defined by each object and previously acquired by an optical instrument and associated to a respective said code, of an object on the base to determine the relative allocation position; detecting to the user the position of the object on the base for each code whenever the user recalls a code recorded on the storage medium, and wherein the recall is performed by visual inspection by the user if the association on the digital storage medium is reproduced by the computer as a graphic mapping viewable by the user, and/or by scanning a code by means of a scanning instrument operatively connected to the computer.