Energy Efficient Embedded Machine Vision (E3MV) with FPGAs – 12th July 2018
Date and Time Thu 12 July 2018 - 08:30 – 17:00 BST Location Sheaf 4301, Sheffield Hallam University Howard Street, Sheffield. S1 1WB REGISTER HERE There is growing momentum for Multi-Processor System on chips (MPSoC) to be used as highly adaptive and efficient accelerators for machine vision and image processing applications. Such systems are composed of multi-architecture solutions and may
Publication of the 2nd version of the TULIPP Reference Platform
The second version of the TULIPP Reference Platform presenting guidelines and ideas to create an Image Processing solution is now available. To download it, please click here.
Hipperos at Embedded World 2018
Ben Rodriguez, CEO of Hipperos, showcases the hardware accelerated image processing ability of the Sundance EMC2 TULIPP board using the Hipperos RTOS.
Second Integration Week of the H2020 Tulipp Project @ Dresden University
Between the 11 and the 15th of June, all researchers working on the Tulipp project will meet in University of Dresden, Germany. This integration week will be the opportunity to prepare and test our ‘Use-case’ demos that will be presented at the Vision’18 event in Germany in early November. The Tulipp platform is used in 3 vision processing use case
Tulipp SGM Stereo demo
The use of Unmanned Vehicles (UVs) in different markets has increased significantly. Currently, most important markets are aerial video/photography, precision farming and surveillance/monitoring. Ongoing technical development, e.g. in size, endurance and usability, enables the use of UVs in even more areas and the Tulipp Platform will provide a good starting point. More here - http://tulipp.eu/surveillance-and-rescue-uavs/
Industrial PhD Internship in Image Processing, Sensors and Robotics for TULIPP project
Description We are in the final stages of the TULIPP project and part of the project goal is to open the concept to a wider Ecosystem. We need external resources/experts that can use it to give feedback to the partners and then also improve it, so will require the PhD student to be interested in Image Processing, Sensors and Robotics.