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.
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.
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
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
TULIPP @Embedded World - 27 February - 1 March 2018 // Nuremberg, Germany. From 27 February - 1 March 2018 at the Nuremberg Exhibition Centre the focus will be again on all things embedded systems: the embedded community comes together here in annual rotation at the embedded world Exhibition&Conference. As a leading international world fair
The HIPEAC Info Magazine 50, April 2017 has published an article entitled “A TULIPP IN THE FIELD OF MEDICAL X-RAY IMAGING” (p.15) , which describes two TULIPP H2020 project for the Medical X-Ray Imaging. The Info Magazine has also published an article on Synective Labs AB, one partner of the TULIPP project. The article is entitled " Magnus Peterson,
Machine Vision (MV) systems are ubiquitous, encompassing a wide range of applications from smart phones to ADAS and drones. Increasingly, these applications require intelligence at the edge or in the cloud, with FPGA and SoC based solutions forming the core of many MV systems. Flemming Christensen, Sundance, will present the TULIPP project. Key themes will
The use case chosen for the Tulipp project is about pedestrian detection. It represents one of several object detection use cases interesting for automotive applications, like vehicle detection, traffic sign recognition and obstacle recognition. These are normally designed with a classifier approach, where a trained classifier sweeps the image for detections in a grid pattern.
Medical imaging is the visualization of body parts, organs, tissues or cells for clinical diagnosis and preoperative imaging. The global medical image processing market is about $15 billion a year. The imaging techniques used in medical devices include a variety of modern equipment in the field of optical imaging, nuclear imaging, radiology and other image-guided
In recent years, the use of Unmanned Aerial Vehicles (UAVs) 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 UAVs in even more areas. First prototypes for delivering goods (e.g. DHL or Amazon) or
On Tuesday 24th January, our Project Coordinator Philippe MILLET (Thales) presented the Tulipp project during the PEPGUM workshop on “ Power-Efficient GPU and heterogeneous Multi-/Many-core Computing ” co-located with the Hipeac’17 Conference. The workshop was co-organized with four other European projects targeted at improving the power efficiency of GPUs and heterogeneous multi-/many-core systems: LPGPU2, SAFEPOWER,