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Three Hundred and Sixty Degree Real-Time Monitoring of 3-D Printing Using Computer Analysis of Two Camera Views

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Revision as of 01:05, 5 July 2017 by J.M.Pearce (Talk | Contributions) (Created page with " {{MOST}} {{Pearce-pubs}} {{MOST-RepRap}} ==Source== * Nuchitprasitchai, S., Roggemann, M. & Pearce, J.M. [http://www.mdpi.com/2504-4494/1/1/2 Three Hundred and Sixty Degree...")

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Source

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Abstract

Prosumer (producing consumer)-based desktop additive manufacturing has been enabled by the recent radical reduction in 3-D printer capital costs created by the open-source release of the self-replicating rapid prototype (RepRap). To continue this success, there have been some efforts to improve reliability, which are either too expensive or lacked automation. A promising method to improve reliability is to use computer vision, although the success rates are still too low for widespread use. To overcome these challenges an open source low-cost reliable real-time optimal monitoring platform for 3-D printing from double cameras is presented here. This error detection system is implemented with low-cost web cameras and covers 360 degrees around the printed object from three different perspectives. The algorithm is developed in Python and run on a Raspberry Pi3 mini-computer to reduce costs. For 3-D printing monitoring in three different perspectives, the systems are tested with four different 3-D object geometries for normal operation and failure modes. This system is tested with two different techniques in the image pre-processing step: SIFT and RANSAC rescale and rectification, and non-rescale and rectification. The error calculations were determined from the horizontal and vertical magnitude methods of 3-D reconstruction images. The non-rescale and rectification technique successfully detects the normal printing and failure state for all models with 100% accuracy, which is better than the single camera set up only. The computation time of the non-rescale and rectification technique is two times faster than the SIFT and RANSAC rescale and rectification technique.

Keywords

Real-time monitoring, 3D printing, Optical monitoring, RepRap, Open hardware, Quality assurance,  2-D reconstruction; error detection; reliability; computer analysis


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