Workflow Management System with Automatic Correction

Chmiel, Wojciech; Derkacz, Jan; Dziech, Andrzej; Jędrusik, Stanisław; Kadłuczka, P.; Laskowski, Bogusław; Mikrut, Zbigniew; Pałka, Dariusz; Rajchel, Piotr; Skalna, Iwona; Turek, Michał

doi:10.1007/978-3-030-59000-0_14

Cited by 1 publication

(4 citation statements)

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“…Table 1 compares the results of the measurements obtained in [5], where the points of interest were determined manually, with the measurements made automatically -using the presented here algorithm. As one can see, there are pixel differences, both in determining the diameters and in calculating the length of the screw.…”

Section: Resultsmentioning

confidence: 99%

“…The preferred method is to measure the length of the screw with a special caliper, transmitting the result via the Bluetooth. However, to protect against the lack or possible damage of the caliper, an alternative (computer vision based) method was proposed in [5].…”

Section: Smart Procedures For Visual Assessment Of Final Stage Of Val...mentioning

confidence: 99%

“…If the algorithm is not working properly, the employee can repeat the analysis by taking another photo. The general scheme of the analysis has not changed from that presented in the previous work [5]. The following description highlights the steps that need to be automated:…”

Section: Smart Procedures For Visual Assessment Of Final Stage Of Val...mentioning

confidence: 99%

“…To determine the length of the screw (in [mm]), one needs to know its real diameter (in [mm]) and two distances measured in the image (in pixels): diameter and length. According to the concept of the algorithm presented in [5] the binary image is projected onto the axes of the coordinate system. In this way, two functions arise (see Fig.…”

Section: Screw Parametersmentioning

confidence: 99%

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Workflow management system with smart procedures

Chmiel

Derkacz

Jędrusik

et al. 2022

Multimed Tools Appl

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Supervision of repair and diagnostic works aimed at improving the safety of maintenance crews is one of the key objectives of the distributed INRED system. Working in a real industrial environment, the INRED system includes, among others, the so-called INRED-Workflow, which provides an infrastructure for process automation. Participants of the service processes, managed by the INRED-Workflow, are controlled at each stage of the performed service procedures, both by the system and other process participants, such as quality managers and technologists. All data collected from the service processes is stored in the System Knowledge Repository (SKR) for further processing by using advanced algorithms, and the so-called Smart Procedures merge services supplied by other INRED system modules. The applicability of workflow management systems in conjunction with image recognition and machine learning methods has not yet been thoroughly explored. The presented paper shows the innovative usage of such systems in the supervision of the repair and diagnostic works.

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Section: Resultsmentioning

confidence: 99%

Section: Smart Procedures For Visual Assessment Of Final Stage Of Val...mentioning

confidence: 99%

Section: Smart Procedures For Visual Assessment Of Final Stage Of Val...mentioning

confidence: 99%

Section: Screw Parametersmentioning

confidence: 99%

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