Smart Manufacturing - Interview in autoregion international 01/2023 (english)

January 2023

Smart Manufacturing : Fully automated optical inspection and providing solutions in different markets, industries and applications is what K|Lens GmbH describes as its vision with its Industrial Solution division.
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Smart Manufacturing - Interview in OEM&Lieferant 01/2023 (german)

January 2023

Smart Manufacturing: Optische Inspektionen vollständig zu Automatisieren und für eine Vielzahl von Herausforderungen in unterschiedlichen Märkten, Branchen und Anwendungen bereitzustellen, dies bezeichnet die K|Lens GmbH mit dem Geschäftsbereich Industrial Solution als ihre Vision.
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Stern.de - K|Lens has been evaluated as one of the most innovative Mittelstand companies in Germany in the field of optics and sensors

03 March 2023

Sie sind das Rückgrat der deutschen Wirtschaft. Sie forschen, entwickeln und melden Patente an. Aber welche Firmen genau gehören zu? Eine neue Studie nennt die 500 besten aus 30 Branchen.
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Erfolgreiches saarländisches Startup K|Lens - Aktueller Bericht, Saarländischer Rundfunk (SR)

20 April 2023

From minute 26 in the following mediastream:

High-Resolution Synthetic RGB-D Datasets for Monocular Depth Estimation

June 2023

Accurate depth maps are essential in various applications, such as autonomous driving, scene reconstruction, point-cloud creation, etc. However, monocular-depth estimation (MDE) algorithms often fail to provide enough texture & sharpness, and also are inconsistent for homogeneous scenes.

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Expanding Synthetic Real-World Degradations for Blind Video Super Resolution

June 2023

Video super-resolution (VSR) techniques, especially deep-learning-based algorithms, have drastically improved over the last few years and shown impressive performance on synthetic data. However, their performance on real-world video data suffers because of the complexity of real-world degradations and misaligned video frames.
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Edge-aware Consistent Stereo Video Depth Estimation

June 2023

Video depth estimation is crucial in various applications, such as scene reconstruction and augmented reality. In contrast to the naive method of estimating depths from images, a more sophisticated approach uses temporal information, thereby eliminating flickering and geometrical inconsistencies.
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Leveraging Multi-view Data for Improved Detection Performance: An Industrial Use Case

17 April 2023

Printed circuit boards (PCBs) are essential components of electronic devices, and ensuring their quality is crucial in their production. However, the vast variety of components and PCBs manufactured by different companies makes it challenging to adapt to production lines with speed demands.

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CNN-based in situ tool wear detection: A study on model training and data augmentation in turning inserts

June 2023

We present an automated turning insert wear detection system developed for aeronautical Low Pressure Turbines (LPT) casing machining process based on a binary classifier using Convolutional Neural Networks (CNN).
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Quality inspection of critical aircraft engine components: towards full automation

25 October 2022

The quality of products has become a key factor for success in the current manufacturing industry. This is especially true in the aviation field where components for aircraft engines called honeycombs are produced.
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A Comparative Study of PnP and Learning Approaches to Super-Resolution in a Real-World Setting

13 January 2022

Single-Image Super-Resolution has seen dramatic improvements due to the application of deep learning and commonly achieved results show impressive performance.
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Lightfield imaging for industrial applications

8 November 2020

Lightfield imaging systems were brought to market for consumer and professional media recording. But so far, this technology is less known for applications in the industrial space.
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