Treatment Base Position Mapping for Multi-Object Traceability
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Solution Overview
Problem
Current methods for post-treatment detection of multiple objects on a treatment base, such as dental objects, are prone to errors due to manual handling and reliance on operator capability, especially during thermal sintering of zirconia objects, which can lead to incorrect repositioning and traceability issues.
Innovation Solution
A simultaneous post-treatment detection process that utilizes a recognition device with an identification code, coupled with an electronic system for efficient object identification and association, including phases like decoupling, positioning, association, and detection, using visual or optical means to automate the process and reduce errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual positioning and mapping methods are used for objects on a treatment base, then operator flexibility is maintained, but error rate increases and traceability is compromised
Solution Approach 1:
The system performs preliminary detection and mapping of objects on the treatment base before treatment begins. Detection devices capture images and identify objects in their initial positions, creating a digital record that enables automatic traceability throughout the treatment process without relying on manual mapping by operators.
Solution Approach 2:
The patent replaces manual mechanical positioning and paper-based mapping with an automated optical detection system. Cameras and image processing algorithms automatically detect, identify, and track objects on the treatment base, substituting human operators' manual actions with automated vision-based systems that eliminate errors inherent in manual processes.
2Measurement precision
If automated detection systems are implemented for object identification, then error rate decreases, but system complexity increases
Solution Approach 1:
The system creates digital copies of the treatment base layout and object positions through image capture and processing. Instead of complex physical tracking systems, the patent uses 2D images and digital representations to accurately identify and track objects throughout the treatment process, simplifying the overall system while maintaining high precision.
Solution Approach 2:
The detection system is designed to automatically identify and track objects without requiring complex external intervention. The system processes images, identifies objects based on their positions and characteristics, and maintains traceability autonomously, reducing the need for complex manual operation and monitoring.
3Productivity
If objects are treated simultaneously on a treatment base, then productivity increases, but object recognition becomes difficult
Solution Approach 1:
The system segments the treatment base into distinct detection zones and identifies each object individually within these zones. By dividing the treatment area and processing objects separately in the digital domain, the system maintains high object recognition accuracy even when multiple objects are treated simultaneously on the same base.
Solution Approach 2:
The patent transitions from 3D physical object recognition to 2D image-based identification. By capturing top-down views of objects on the treatment base and using 2D image processing, the system simplifies the detection task while maintaining accuracy, allowing simultaneous treatment of multiple objects without increasing recognition difficulty.
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.