Toying (some more) with an industrial robot at the office 😉
Merry Christmas and a Happy 2019 from the Allseas R&D Eindhoven (a.k.a. Inspection & Robotics) office.
R&D Eindhoven is part of the Innovation Department of Allseas Engineering B.V.
Allseas – Innovation opens beers
Toying with an industrial robot at the office 😉
R&D Eindhoven (a.k.a. Inspection & Robotics) opens the Friday “borrel” beers with their new Fanuc M-710iC/45M Robot in combination with a Cognex In-Sight 2000 Vision Sensor.
R&D Eindhoven is part of the Innovation Department of Allseas Engineering B.V.
The status of Augmented Reality headsets at the end of 2017
Two fun and interesting days of Virtual Reality and Augmented Reality at AWE Europe 2017. Now it’s time to get back to reality and realize that I look pretty nerdy in these pictures 😉
Allseas – Promoted to Unit Head Innovations
Got promoted to Unit Head Innovations (managing the Eindhoven office) at the Innovations Department of Allseas Engineering B.V.
The Swiss-based Allseas Group is a global leader in offshore pipeline installation, heavy lift and subsea construction. We employ over 2500 people worldwide and operate a versatile fleet of specialised heavy-lift, pipelay and support vessels, designed and developed in-house.
Allseas – Promoted to Senior Software Engineer
Got promoted to Senior Software Engineer at the Innovations Department of Allseas Engineering B.V.
The Swiss-based Allseas Group is a global leader in offshore pipeline installation, heavy lift and subsea construction. We employ over 2500 people worldwide and operate a versatile fleet of specialised heavy-lift, pipelay and support vessels, designed and developed in-house.
Allseas – Started as Software Engineer
Started my new job as Software Engineer at the Innovations Department of Allseas Engineering B.V.
The Swiss-based Allseas Group is a global leader in offshore pipeline installation, heavy lift and subsea construction. We employ over 2500 people worldwide and operate a versatile fleet of specialised heavy-lift, pipelay and support vessels, designed and developed in-house.
InnoFaith – 3D.js front-end for embedded devices
SVG vector bases, touchscreen enabled, animated, and 3D.js driven front-end, running on an “embedded” Raspberry-Pi that is sampling 21 USB connected skin moisture sensors (each containing an array of 256×300 sample points).
The system is running battery power in a bag pack, carried by the human test subject. De system is hosting a live measurement data as a web service using a Wifi AP hosted by WiFi USB dongle connected to the Raspberry Pi, in connection with the 21 USB connected skin moisture sensors.
System status (including the external battery) can also be monitored through the same web interface (running fullscreen on a iPad).
InnoFaith – OBSERV 520 iOS App
The skin diagnostics suite bundled with the OBSERV 520. This iPad based skin diagnostics suite uses the Bluetooth 4.0 Low Energy (BLE) to communicate with the OBSERV 520 by Sylton, and uses the iPad camera in combination with GPU accelerated image filters to visualise a broad range of skin concerns.
App Store link: https://itunes.apple.com/us/app/observ-520/id781554722
Sylton (InnoFaith) product information: https://sylton.com/products
InnoFaith – AVEAL 210/220 iOS App
Skin care consultation suite for Point-of-Sale applications using the AVEAL 210/220. An iPad based skin care consultation suite, that combines questioners and measurements (using a bluetooth connected MFi+iAP measurement device), to provide an end-user with a skin type description. The goal is to provide a smooth and fast interface, with intuitive data visualisations.
App Store link: https://itunes.apple.com/us/app/aveal/id674486824
Sylton (InnoFaith) product information: https://www.sylton.com
TU/e – COMBat: Visualizing co-occurrence of annotation terms
Remko van Brakel, Mark Fiers, Christof Francke, Michel Westenberg, Huub van de Wetering
We propose a visual analysis approach that employs a matrix-based visualization technique to explore relations between annotation terms in biological data sets. Our flexible framework provides various ways to form combinations of data elements, which results in a co-occurrence matrix. Each cell in this matrix stores a list of items associated with the combination of the corresponding row and column element. By re-arranging the rows and columns of this matrix, and color-coding the cell contents, patterns become visible. Our prototype tool COMBat allows users to construct a new matrix on the fly by selecting subsets of items of interest, or filtering out uninteresting ones, and it provides various additional interaction techniques. We illustrate our approach with a few case studies concerning the identification of functional links between the presence of particular genes or genomic sequences and particular cellular processes.
Published in: Biological Data Visualization (BioVis), 2013 IEEE Symposium on
Recording of the COMBat presentation at BioVis 2013 by Michel Westenberg.