Experimental Comparison of Optical Inline 3D Measurement and Inspection Systems

Traxler, Lukas; Ginner, Laurin; Breuss, Simon; Blaschitz, Bernhard

doi:10.1109/access.2021.3070381

Cited by 18 publications

(6 citation statements)

References 33 publications

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“…Alternative triangulation-based systems obtain a strongly reduced operating range up to a few meters only, but often achieve depth resolutions in the μm-range 12 , 13 . To achieve such a precision, complex algorithms and post-imaging processes are required to extract the depth information, impeding a fast image acquisition.…”

Section: Introductionmentioning

confidence: 99%

Amorphous silicon intrinsic photomixing detector for optical ranging

Bablich,

Müller,

Bornemann

et al. 2023

Commun Eng

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Today’s optical range finders or 3D imagers suffer from significant drawbacks and do not allow to combine performance (sensitivity, precision) with simplicity, and scalability enabling very-large scale integration with minimum footprint. Here, we present the amorphous silicon Intrinsic Photomixing Detector (IPD) for direct and highly sensitive optical envelope mixing. The ability to generate a photocurrent that is proportional to the nonlinear mixing of two optical modulation envelope functions enables high performance Time-of-Flight optical ranging at low light levels down to $$\sim \!0.1\,{{{{{\rm{mW}}}}}}{{{{{\rm{cm}}}}}}^{-2}$$ ~ 0.1 mW cm − 2 at $$444\,{{{{{\rm{nm}}}}}}$$ 444 nm . The IPD exceeds MHz bandwidth, covers a broad distance detection range from $$10\,{{{{{\rm{cm}}}}}}$$ 10 cm to $$101\,{{{{{\rm{m}}}}}}$$ 101 m , and achieves a mean depth resolution below $$44\,{{{{{\rm{mm}}}}}}$$ 44 mm for distances up to $$25\,{{{{{\rm{m}}}}}}$$ 25 m . The IPD paves the way towards simple but high-performance photodetectors that allow for very-large scale integration on top of silicon or flexible electronics at low costs with pixel fill factors up to 100%.

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Section: Introductionmentioning

confidence: 99%

Amorphous silicon intrinsic photomixing detector for optical ranging

Bablich,

Müller,

Bornemann

et al. 2023

Commun Eng

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“…In this process, the efficiency of the image preprocessing and image classification determines the efficiency of the entire process. Many studies have discussed topics related to the assistance of AOI in decision-making [11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

A Novel Multicategory Defect Detection Method Based on the Convolutional Neural Network Method for TFT-LCD Panels

Chang

Meng

et al. 2022

Mathematical Problems in Engineering

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Defects on thin film transistor liquid crystal display (TFT-LCD) panel could be divided into either macro- or microdefects, depending on if they are easy to be detected by the naked eye or not. There have been abundant studies discussing the identification of macrodefects but very few on microones. This study proposed a multicategory classification model using a convolutional neural network model to work with automatic optical inspection (AOI) for identifying defective pixels on the TFT-LCD panel. Since the number of nondefective pixels outnumbered the defective ones, there exists a very serious class-imbalanced problem. To deal with that, this study designed a special training strategy that worked with data augmentation to increase the effectiveness of the proposed model. Actual panel images provided by a mobile manufacturer in Taiwan are used to demonstrate the efficiency and effectiveness of the proposed approach. After validation, the model constructed by this study had 98.9% total prediction accuracy and excellent specificity and sensitivity. The model could finish the detection and classification process automatically to replace the human inspection.

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“…Fringe projection profilometry (FPP) is widely used to retrieve the 3D shape of objects, with the advantages of noncontact, high speed, and high accuracy [1][2][3][4]. A typical FPP system mainly consists of a digital projector and a CCD/CMOS camera with the Gamma effect.…”

Section: Introductionmentioning

confidence: 99%

Probability-distribution-based Gamma correction method in fringe projection profilometry

Tang

Pei

et al. 2022

Optical Metrology and Inspection for Industrial Applications IX

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This paper proposed a Gamma effect correction method based on the probability distribution function (PDF) for suppressing phase nonlinearity error in fringe projection profilometry. In this work, the periodicity of phase with Gamma effect is first analyzed, and nonlinear wrapped phase is modeled as superposition of normal wrapped phase with a sinusoidal function. Afterwards, a series of reference phases with Gamma factors ranging from 1 to 3 is constructed and the corresponding PDF is calculated. Then the optimal precoding factor γp of projected fringe is obtained by applying Jensen-Shannon (JS) divergence matching between the PDF of measured phase and constructed reference phases. In simulations, the availability of proposed method is investigated, where RMSE decreases from 0.218rad to 0.016rad. In experiments, the turbine blade is tested and compared with calibrated values where RMS of measured deviations after correction has decreased from 0.269mm to 0.095mm. All the investigations have proved the high reliability of proposed method.

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Experimental Comparison of Optical Inline 3D Measurement and Inspection Systems

Cited by 18 publications

References 33 publications

Amorphous silicon intrinsic photomixing detector for optical ranging

Amorphous silicon intrinsic photomixing detector for optical ranging

A Novel Multicategory Defect Detection Method Based on the Convolutional Neural Network Method for TFT-LCD Panels

Probability-distribution-based Gamma correction method in fringe projection profilometry

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