A study on using image serving technology for high precision mechanical positioning

Lin, Chuen-Horng; Hsiao, Muh-Don; Lai, Kuo-Jung

doi:10.1016/j.ymssp.2016.03.017

Cited by 9 publications

(3 citation statements)

References 27 publications

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“…Therefore, a Gaussian filter is used to preprocess the image before stripe center extraction to remove some of the image noise. Then, the original image is binarized and the edge of the laser stripe is extracted [ 20 ]. The sequence of the points on the edge is denoted as

.…”

Section: Extraction Methodsmentioning

confidence: 99%

A Measurement Method for Large Parts Combining with Feature Compression Extraction and Directed Edge-Point Criterion

Liu

Yang

et al. 2016

Sensors

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High-accuracy surface measurement of large aviation parts is a significant guarantee of aircraft assembly with high quality. The result of boundary measurement is a significant parameter for aviation-part measurement. This paper proposes a measurement method for accurately measuring the surface and boundary of aviation part with feature compression extraction and directed edge-point criterion. To improve the measurement accuracy of both the surface and boundary of large parts, extraction method of global boundary and feature analysis of local stripe are combined. The center feature of laser stripe is obtained with high accuracy and less calculation using a sub-pixel centroid extraction method based on compress processing. This method consists of a compressing process of images and judgment criterion of laser stripe centers. An edge-point extraction method based on directed arc-length criterion is proposed to obtain accurate boundary. Finally, a high-precision reconstruction of aerospace part is achieved. Experiments are performed both in a laboratory and an industrial field. The physical measurements validate that the mean distance deviation of the proposed method is 0.47 mm. The results of the field experimentation show the validity of the proposed method.

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.…”

Section: Extraction Methodsmentioning

confidence: 99%

A Measurement Method for Large Parts Combining with Feature Compression Extraction and Directed Edge-Point Criterion

Liu

Yang

et al. 2016

Sensors

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show abstract

“…The cornerstone for manufacturing improvement activities is intelligent equipment replacing human activities and that can be taught to replace human eyes, hands, and even brains; therefore, with each manufactured product, for quality diagnosis and for the completion of selection operation made by robots, basic data collection [ 4 , 5 ] must be prepared well and fast. According to a variety of hybrid image registration systems, [ 6 ] proposes an entire set of methods for achieving optimal hybrid pattern matching. This paper focused on using image server technology for high precision mechanical positioning.…”

Section: Introductionmentioning

confidence: 99%

Image-Processing-Based Low-Cost Fault Detection Solution for End-of-Line ECUs in Automotive Manufacturing

Korodi

Anitei

Boitor

et al. 2020

Sensors

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The manufacturing industry is continuously researching and developing strategies and solutions to increase product quality and to decrease production time and costs. The approach is always targeting more automated, traceable, and supervised production, minimizing the impact of the human factor. In the automotive industry, the Electronic Control Unit (ECU) manufacturing ends with complex testing, the End-of-Line (EoL) products being afterwards sent to client companies. This paper proposes an image-processing-based low-cost fault detection (IP-LC-FD) solution for the EoL ECUs, aiming for high-quality and fast detection. The IP-LC-FD solution approaches the problem of determining, on the manufacturing line, the correct mounting of the pins in the locations of each connector of the ECU module, respectively, other defects as missing or extra pins, damaged clips, or surface cracks. The IP-LC-FD system is a hardware–software structure, based on Raspberry Pi microcomputers, Pi cameras, respectively, Python and OpenCV environments. This paper presents the two main stages of the research, the experimental model, and the prototype. The rapid integration into the production line represented an important goal, meaning the accomplishment of the specific hard acceptance requirements regarding both performance and functionality. The solution was implemented and tested as an experimental model and prototype in a real industrial environment, proving excellent results.

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“…Also, in a complex environment where the background and illumination are various, it would be difficult to set appropriate parameters. Currently, the industrial profile-detection method (IPDM) is proposed, which is as follows: the edge methods based on gradient variation are adopted to obtain a preliminary contour, while the morphology and connected tracking methods are used to determine the closed contour (Lin et al , 2016). However, it remains difficult to extract a closed contour with high accuracy from complex background.…”

Section: Introductionmentioning

confidence: 99%

Accurate profile measurement method for industrial stereo-vision systems

Yang

Liu

et al. 2020

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Purpose Profile measurement with boundary information plays a vital role in the detection of quality in the assembly of aviation parts. The purpose of this paper is to improve the evaluation accuracy of the aerodynamic shapes of airplanes, the profiles of large-sized parts need to be measured accurately. Design/methodology/approach In this paper, an accurate profile measurement method based on boundary reference points is proposed for the industrial stereo-vision system. Based on the boundary-reference points, the authors established a priori constraint for extracting the boundary of the measured part. Combining with the image features of background and the measured part, an image-edge compensation model is established to extract the boundary of the measured part. The critical point of a laser stripe on the edge of the measured part is extracted corresponding to the boundary constraint. Finally, as per the principle of binocular vision, the profile of the measured part is reconstructed. Finding Laboratory experiments validate the measurement accuracy of the proposed method which is 0.33 mm. In the analysis of results between the measured data and the theoretical model, the measuring accuracy of the proposed method was found to be significantly higher than that of the other traditional methods. Practical implication An aviation part was measured in the part-assembly shop by the proposed method, which verified the feasibility and effectiveness of this method. The research can realize the measurement of smooth surface boundary which can solve existing profile reconstruction problems for aviation parts. Originality/value According to the two-dimensional contour constraint, critical points of the laser strip sequence at the edge of measured part are extracted and the accurate profile reconstruction with the boundary is realized.

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A study on using image serving technology for high precision mechanical positioning

Cited by 9 publications

References 27 publications

A Measurement Method for Large Parts Combining with Feature Compression Extraction and Directed Edge-Point Criterion

A Measurement Method for Large Parts Combining with Feature Compression Extraction and Directed Edge-Point Criterion

Image-Processing-Based Low-Cost Fault Detection Solution for End-of-Line ECUs in Automotive Manufacturing

Accurate profile measurement method for industrial stereo-vision systems

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