Industrielle Bildverarbeitung

Demant, Christian; Streicher-Abel, Bernd; Springhoff, Axel

doi:10.1007/978-3-642-13097-7

Cited by 20 publications

(4 citation statements)

References 7 publications

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“…As a high penetration depth into the tissue is advantageous in order to recognize deeper structures of the biological tissue, a light source with a spectrum in the visible and near infrared spectral range is used. LEDs are used because the power of the light source must be sufficient to illuminate the sample in the relevant wavelength range, but a low sample load is also required due to rapid switching on and off of the light source [16]. Due to the inverse hyperspectral imaging approach, white light is not used in this work, but the narrow-band LEDs are controlled individually one after the other.…”

Section: Light Sourcementioning

confidence: 99%

Differentiation of biological tissue by hyperspectral imaging using a fibre-coupled light source with high spectral power density

Ruf,

Baselt,

Seemann

et al. 2024

Label-Free Biomedical Imaging and Sensing (LBIS) 2024

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Hyperspectral imaging is gaining importance in many areas of research, industry and medicine. It makes it possible to visualize information almost in real time. In order to realize a measuring station for inverse hyperspectral imaging, a fibercoupled light source was developed to increase the spectral power density with 40 LEDs with 17 wavelengths in the range from 388 nm to 805 nm. An automated measuring station was developed in which both illumination types, bright field and dark field, as well as the imaging unit were integrated. The automated control of the components of the measuring station makes it possible to record the spectral information of the sample within 15 seconds. A liquid lens is used for this purpose. It enables correction of the focus difference of all wavelengths for a resolution of up to 3.5 µm. Furthermore, the use of a highly sensitive industrial camera without color filters maximizes the spatial resolution. To evaluate the system, a standardized sample and prepared skin, muscle, tendon and bone tissue were examined. With the realized measuring station for inverse hyperspectral imaging and the numerical processing of the resulting image data, cellular structures and features of the biological tissue can be made visible and thus differentiated.

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Section: Light Sourcementioning

confidence: 99%

Differentiation of biological tissue by hyperspectral imaging using a fibre-coupled light source with high spectral power density

Ruf,

Baselt,

Seemann

et al. 2024

Label-Free Biomedical Imaging and Sensing (LBIS) 2024

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“…With the help of these examples and the collected data, the experiments were started at the University of Applied Sciences in Ulm in the laboratory for robotics and industrial image processing [6], [7].…”

Section: Cooperation Projectmentioning

confidence: 99%

“…The robot had to remove the multi-shafts from a holder and lead to a wing light (Figure 24). A camera took a snapshot and sent a picture to an image recognition program on a connected PC [7], [17], [18].…”

Section: Figure 21 Bar Code Identification With Image Recognitionmentioning

confidence: 99%

Integration of disabled people in an automated work process

Jalba

Muminovic

Epple

et al. 2017

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract. Automation processes enter more and more into all areas of life and production. Especially people with disabilities can hardly keep step with this change. In sheltered workshops in Germany people with physical and mental disabilities get help with much dedication, to be integrated into the work processes. This work shows that cooperation between disabled people and industrial robots by means of industrial image processing can successfully result in the production of highly complex products. Here is described how high-pressure hydraulic pumps are assembled by people with disabilities in cooperation with industrial robots in a sheltered workshop. After the assembly process, the pumps are checked for leaks at very high pressures in a completely automated process.

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“…The integrated image processing allows, for example, that boards with a defective glue bead have to be removed before the stack is mounted [5], [6]. The height of the adhesive must not exceed 0.7 mm and must be uniform.…”

Section: Assembling Fuel Cellsmentioning

confidence: 99%

Automated assembling of single fuel cell units for use in a fuel cell stack

Jalba

Muminovic

Barz

et al. 2017

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract. The manufacturing of PEMFC stacks (POLYMER ELEKTROLYT MEMBRANFuel Cell) is nowadays still done by hand. Over hundreds of identical single components have to be placed accurate together for the construction of a fuel cell stack. Beside logistic problems, higher total costs and disadvantages in weight the high number of components produce a higher statistic interference because of faulty erection or material defects and summation of manufacturing tolerances. The saving of costs is about 20 -25 %. Furthermore, the total weight of the fuel cells will be reduced because of a new sealing technology. Overall a one minute cycle time has to be aimed per cell at the manufacturing of these single components. The change of the existing sealing concept to a bonded sealing is one of the important requisites to get an automated manufacturing of single cell units. One of the important steps for an automated gluing process is the checking of the glue application by using of an image processing system. After bonding the single fuel cell the sealing and electrical function can be checked, so that only functional and high qualitative cells can get into further manufacturing processes.

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Industrielle Bildverarbeitung

Cited by 20 publications

References 7 publications

Differentiation of biological tissue by hyperspectral imaging using a fibre-coupled light source with high spectral power density

Differentiation of biological tissue by hyperspectral imaging using a fibre-coupled light source with high spectral power density

Integration of disabled people in an automated work process

Automated assembling of single fuel cell units for use in a fuel cell stack

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