3D Printed Object Identification via Computer Vision
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Solution Overview
Problem
Manual sorting of 3D printed objects in trays is time-consuming and prone to human error, making it inefficient and unreliable for identifying and processing large quantities of printed items.
Innovation Solution
A system utilizing computer vision techniques, including 2.5D or 3D scanning, to identify 3D printed objects by generating models and comparing them with reference sets to determine identity, detect defects, and automatically generate labels for packaging and shipping, potentially with the aid of smart tags for tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual sorting is used to identify 3D printed objects, then the process is simple to implement, but it is time-consuming and prone to human error
Solution Approach 1:
The patent replaces the manual mechanical sorting process with an automated computer vision system that uses imaging devices and image processing algorithms to identify and sort 3D printed objects, thereby eliminating human error and reducing sorting time
Solution Approach 2:
The system enables objects to be automatically identified and sorted without human intervention by using imaging data and comparison algorithms that autonomously match printed objects with their corresponding 3D models
2Productivity
If automated computer vision systems are used to identify 3D printed objects, then identification speed and accuracy improve, but system complexity increases
Solution Approach 1:
The patent employs a multi-functional system that combines imaging devices, image processing capabilities, 3D model storage, and comparison algorithms into a single automated identification system, allowing one system to perform multiple functions rather than requiring separate systems for each task
Solution Approach 2:
The system stores digital copies of 3D models and uses these copies for comparison with images of printed objects, eliminating the need for physical reference objects and simplifying the identification process
Data Source
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AI summary
According to some aspects, a system for identifying a printed object is provided. The system may include an imaging device configured to image a three-dimensional (3D) printed object and a processor coupled to the imaging device. The processor may be configured to receive information generated as a result of imaging the 3D printed object with the imaging device, identify a set of features for the 3D printed object using the received information, compare the set of features with multiple reference sets of features, each of the multiple reference sets of features being associated with a respective 3D object in a plurality of 3D objects, and identify, based at least in part on results of the comparison, a 3D object from the plurality of 3D objects that matches the 3D printed object.