Allseas – The Holiday Spirit

Toying (some more) with an industrial robot at the office đŸ˜‰

Merry Christmas and a Happy 2019 from the Allseas R&D Eindhoven (a.k.a. Inspection & Robotics) office.

Allseas – R&D Eindhoven – The Holiday Spirit

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.

Allseas – Started as Software Engineer

Started my new  job as Software Engineer at the Innovations Department of Allseas Engineering B.V.

Allseas Logo

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).

3D.js SVG front-end data visualisation

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.

3D.js SVG front-end status visualisation

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.

Overview of the OBSERV 520 iOS App

App Store link:

Sylton (InnoFaith) product information:

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:

Sylton (InnoFaith) product information:

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.

COMBat: Visualizing co-occurrence of annotation terms
COMBat: Visualizing co-occurrence of annotation terms

Published in: Biological Data Visualization (BioVis), 2013 IEEE Symposium on

Recording of the COMBat presentation at BioVis 2013 by Michel Westenberg.

InnoFaith – Fingernail curvature reconstruction

A fun little test setup that uses three (cheap) webcams and a (static) line projector, to measure the outline and curvatures of a human fingernail. Resulting in an Bézier curves based 3D model, that approximates the subjects fingernail.

Simple test setup with three webcams and a static line projector.

Proof of concept prototype.
Proof-of-concept software implementation (Qt5, OpenCV, and OpenGL).