Innovation Centre for Intelligent Information Processing at Ghent University
Cutting-edge innovation. We design custom-tailored pipelines for processing your data
Trusted partner. Experienced in research collaborations for commercial and scientific applications
WHO WE ARE
i-KNOW Innovation Center is a multidisciplinary consortium of researchers from Ghent University set to bring our discoveries to use in order to spur innovation on data processing and interpretation. The center groups experts on technology (computing systems, big data management, intelligent data analysis and fusion algorithms, machine learning and artificial intelligence) and application domain experts (sustainable mobility, precision agriculture, soil management).
i-KNOW is one of the expertise-based Business Development Centers within the Industrial Liaison Network of the Ghent University Association.
WHAT WE DO
We engage with stakeholders and we foster and develop research partnerships and collaborations with industry and other organizations. Our offer includes
We nurture long-term relationships of trust and shared commitment with all of our partners.
We will spend time to understand your unique goals, then design a custom-tailored approach to help you reach your peak potential. We invite you to contact us to find out how we can help you on your next data-driven research and innovation project.
i-KNOW is dedicated to fueling innovation by harnessing the power of intelligent data processing and interpretation to develop next-generation solutions, especially for
Our research expertise spans the entire data capture-to-interpretation pipeline, ranging from design and execution of measurement campaigns (e.g. ground and aerial mapping of archaeological sites, forestland, crops; proximal soil sensing…), over data preprocessing and storing for efficient access, to mathematical and computational modelling supported by high-performance computing approaches, ending with data interpretation and explaining the results of the analysis.
Sensors within the system directly affect each other’s processing. As a result, pedestrian miss rate in difficult circumstances is reduced by over 20% compared to conventional late fusion aproaches.
FLIAT is a software solution for accurate automatic assessment of the impact/damage (economic, social, ecological and cultural) caused by a specific flood event.
New programming language that speeds up image reconstruction and video processing by 10 to 100 times through faster and easier programming of GPU/CPU parallel computing.
Next generation parallel, high-speed, accurate x86 simulator. Flexible simulation options for exploring different homogeneous and heterogeneous multi-core architectures.
i-KNOW researchers are actively engaged in research and innovation projects on different TRL levels. We collaborate with world leading companies, such as Intel, TomTom, NXP Semiconductors, Robert Bosch, FLIR Systems, Philips Healthcare, Barco, and research bodies, such as the French Alternative Energies and Atomic Energy Commission (CEA), the Spanish National Research Council (CSIC), to name a few.
We work directly with companies in bilateral research projects or as part of multi-partner consortia in subsidized projects with companies, research organisations and (non-)governmental organisations.*
Our UGent/imec team investigates cooperative sensor fusion in support of safety and comfort at road intersections especially for vulnerable road users such as pedestrians and bikers.
ECSEL JU, 01/05/2020–30/04/2023
Integrated sensors and data analysis fault detection tools for PV plants.
i-KNOW researchers contribute to a novel framework of key enabling technologies for safe and autonomous drones. We focus on hyperspectral imaging from manually flown drones for inspection of offshore turbines structure to detect imperfections, such as corrosion deterioration of paint.
ECSEL JU, 01/10/2019–30/09/2022
Designing highly integrated hardware-software components for the implementation of ultra-efficient embedded vision systems as the basis for innovative distributed vision applications.
Multi-modal sensor data fusion (XRT, 3DLT, RGB) using AI to characterize complex heterogeneous waste material streams for efficient recycling.
EIT Raw Materials, 01/01/2020-31/12/2021
40 professors from different research disciplines each bring world class knowledge and cutting-edge skills to the table. Committed to solving important reallife challenges by putting research on intelligent information processing into use.