Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Thomas Langle"'
Publikováno v:
IEEE Access, Vol 12, Pp 6473-6493 (2024)
Sensor-based sorting describes a family of systems that enable the removal of individual objects from a material stream. The technology is widely used in various industries such as agriculture, food, mining, and recycling. Examples of sorting tasks i
Externí odkaz:
https://doaj.org/article/4a984e273c3d4ff7b29410ee0998be12
Publikováno v:
2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS).
Autor:
Thierry Delatour, Florian Becker, Julius Krause, Roman Romero, Robin Gruna, Thomas Längle, Alexandre Panchaud
Publikováno v:
Foods, Vol 11, Iss 1, p 75 (2021)
With the rising trend of consumers being offered by start-up companies portable devices and applications for checking quality of purchased products, it appears of paramount importance to assess the reliability of miniaturized sensors embedded in such
Externí odkaz:
https://doaj.org/article/0656a1c8b05943ae8c0aa2aaec11cb44
Autor:
Moritz Beck, Georg Maier, Merle Flitter, Robin Gruna, Thomas Längle, Michael Heizmann, Jürgen Beyerer
Publikováno v:
Sensors, Vol 21, Iss 18, p 6143 (2021)
Dynamic Vision Sensors differ from conventional cameras in that only intensity changes of individual pixels are perceived and transmitted as an asynchronous stream instead of an entire frame. The technology promises, among other things, high temporal
Externí odkaz:
https://doaj.org/article/7a4ad75e1cc3413ca40f17ca19df3f50
Autor:
Julius Krause, Heinrich Grüger, Lucie Gebauer, Xiaorong Zheng, Jens Knobbe, Tino Pügner, Anna Kicherer, Robin Gruna, Thomas Längle, Jürgen Beyerer
Publikováno v:
Sensors, Vol 21, Iss 13, p 4476 (2021)
The ongoing digitization of industry and agriculture can benefit significantly from optical spectroscopy. In many cases, optical spectroscopy enables the estimation of properties such as substance concentrations and compositions. Spectral data can be
Externí odkaz:
https://doaj.org/article/6d9063a2187d48d1b93e7ef378e3197d