Inspection of Transparent Objects with Varying Light Scattering Using a Frangi Filter

Gruber, Dieter P.; Haselmann, Matthias

doi:10.3390/jimaging7020027

Cited by 3 publications

(2 citation statements)

References 21 publications

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“…Recently, inspection of transparent objects is under development, such that a new machine vision method is proposed to test the quality of transparent objects with varying light Scattering using a frangi lter [14], a re ection-based approach for reconstruct-ing transparent objects using laser scanning [15].…”

Section: Introductionmentioning

confidence: 99%

“…The superposition and the crossing of the two gratings generate the moiré effect, which consists of parallel and equidistant straight lines alternately bright and dark on the plane of the reference grating 11. The system (12,13,14) projects the moiré fringes on observation plane 15 with a magni cation M. The CCD camera 16 captures the image projected on the observation plane 15 and transmits it to the computer 17 for the acquisition and automatic processing of the image.…”

Section: Introductionmentioning

confidence: 99%

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Precision inspection of transparent component quality

Meziane

Saïd

Messagier

2023

Int J Adv Manuf Technol

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In this work, a method using transmission interferometry is proposed to detect surface defects on transparent materials. This technique is non-destructive and non-contact for the analysis of transparent and optical components whose surfaces vary from a few mm 2 to larger sizes. The purpose of this method is to provide, a means as simple as possible to identify defects with low contrast, and in particular barely visible defects, and of differentiate between the defects. The constructed transmission system generates fringes by the superposition of two microscopic periodic structures. According to the method, the test structure deforms after passing through the object. The information about surface defects is obtained from the object analyzed, and superposed on reference structure similar to test structure. Then, fringes are collected with information transported in the variation of their form. It is possible to clearly identify microscopic and submicroscopic defects thanks to the implementation of high-resolution detection in the nanoscale. The magnifying properties of the technique, up to 1000 times, allow better observation of defects which facilitates the automation of measurements and controls.Therefore, the proposed method can be suitable for the detection of surface defects in transparent optical objects such as optical lms, lenses, prisms.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Precision inspection of transparent component quality

Meziane

Saïd

Messagier

2023

Int J Adv Manuf Technol

View full text Add to dashboard Cite

show abstract

Precision inspection of transparent component quality

Meziane¹,

Saïd²,

Messagier

2022

Preprint

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In this work, a method using transmission interferometry is proposed to detect surface defects on transparent materials. This technique is non-destructive and non-contact for the analysis of transparent and optical components whose surfaces vary from a few mm2 to larger sizes. The purpose of this method is to provide, a means as simple as possible to identify defects with low contrast, and in particular barely visible defects, and of differentiate between the defects. The constructed transmission system generates fringes by the superposition of two microscopic periodic structures. According to the method, the test structure deforms after passing through the object. The information about surface defects is obtained from the object analyzed, and superposed on reference structure similar to test structure. Then, fringes are collected with information transported in the variation of their form. It is possible to clearly identify microscopic and submicroscopic defects thanks to the implementation of high-resolution detection in the nanoscale. The magnifying properties of the technique, up to 1000 times, allow better observation of defects which facilitates the automation of measurements and controls. Therefore, the proposed method can be suitable for the detection of surface defects in transparent optical objects such as optical films, lenses, prisms.

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Industry 4.0 In-Line AI Quality Control of Plastic Injection Molded Parts

et al. 2022

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Automatic in-line process quality control plays a crucial role to enhance production efficiency in the injection molding industry. Industry 4.0 is leading the productivity and efficiency of companies to minimize scrap rates and strive for zero-defect production, especially in the injection molding industry. In this study, a fully automated closed-loop injection molding (IM) setup with a communication platform via OPC UA was built in compliance with Industry 4.0. The setup included fully automated inline measurements, in-line data analysis, and an AI control system to set the new machine parameters via the OPC UA communication protocol. The surface quality of the injection molded parts was rated using the ResNet-18 convolutional neural network, which was trained on data gathered by a heuristic approach. Further, eight different machine learning models for predicting the part quality (weight, surface quality, and dimensional properties) and for predicting sensor data were trained using data from a variety of production information sources, including in-mold sensors, injection molding machine (IMM) sensors, ambient sensors, and inline product quality measurements. These models are the backbone of the AI control system, which is a heuristic model predictive control (MPC) method. This method was applied to find new sets of machine parameters during production to control the specified part quality feature. The control system and predictive models were successfully tested for two groups of quality features: Geometry control and surface quality control. Control parameters were limited to injection speed and holding pressure. Moreover, the geometry control was repeated with mold temperature as an additional control parameter.

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Inspection of Transparent Objects with Varying Light Scattering Using a Frangi Filter

Cited by 3 publications

References 21 publications

Precision inspection of transparent component quality

Precision inspection of transparent component quality

Precision inspection of transparent component quality

Industry 4.0 In-Line AI Quality Control of Plastic Injection Molded Parts

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