Our clients call on us for solving different problems.
We put our best engineers and PhDs to solve our clients technical and scientific problems. Cornis analyses your needs and identifies the best existing solution with you. If no technology is able to answer your need, we will develop an entirely new solution for you. Our missions last from a few days to a few years.
You have important data you need to extract critical and important information for your activities but you do not have the time, tools of know-how to organise and process them.
You need help and qualified advice to equip your infrastructure with monitoring tools.
Cornis has a recognised know-how and expertise in data processing applied to mechanics and images for infrastructure monitoring.
You can call on Cornis to explore your data or develop an automatic processing and storage solution.
Industrialising lab solutions with you
You have identified a method, a tool or a theory that can help you answer a problem you are facing. But you would like to make sure it is adapted to your specific industrial context.
Cornis can help you validate academic solutions for industrial applications.
From the kick-off academic literature review to implementing, validating and testing the robustness of the solution, Cornis offers tailored solutions and consulting based on our know-how and recognized expertise in R&D.
Developing novel solutions
You are facing a problem that does not have an efficient solution.
Take advantage of Cornis' know-how and expertise in R&D to develop an innovative solution that answers your specific needs.
Examples of missions
Our CTO, Baptiste Coulange, did his PhD for CNES (the French Space Agency) and University of Paris Descartes on detecting of aliasing in satellite images.
Earth observation satellites are optimised to obtain the best image quality. The size of the sensors and the parameters of the optical chain are designed to obtain the best compromise between image resolution and acquisition artefacts. The higher the resolution the more artefacts are present.
Aliasing which is one of the artefacts in satellite images can lead to image misinterpretation. It is thus critical to detect it. By using the duality between spatial localisation in the image and aliasing relationships in the Fourier transform plane, it was possible to develop and validate a aliasing detection algorithm.
During launch of a rocket, there are many transient vibrations. Some are critical for the survival of the payload (the satellite). Our client needed new tools to analyse these transient vibrations. We had to go further that the state of the art algorithms even in academia to satisfy our client’s needs.
Guidance algorithms for rocket launchers ensure the target is reached but do not take into account the left over propellant. Left-over propellant causes target over-shoots or numerous constraints on passivation and re-entry of stages. Our client had identified a guidance technique enabling complete propellant consumption when target is reached and asked us to enhance, implement and test this method.
Thibault Gouache (cofounder of Cornis), did his PhD for ESA (European Space Agency), in collaboration with ISAE (Toulouse, France) and the University of Surrey (Guilford, UK) in the field of automatic and mechanics. A strong expertise in design, assessment, evaluation and testing of space mechanisms was acquired.
In order to better understand the dynamic behaviour of rocket launchers during flight, it is critical to analyse the vibration data recorded during flight. The classical experimental modal analysis techniques are not applicable since it is impossible to control or measure the dynamic loads applied to the launcher.
Our R&D project manager, Ahmed Jhinaoui, did his PhD at INRIA (French Institute for Research in Computer Science and Control). The subject of his work is part of a wider research thematic in the context of a collaboration between INRIA and ISAE (French Aerospace Institute), via the project I4S which is about structural health monitoring for the purpose of reducing maintenance interventions.
Our research project manager, Virginie Delavaud, carried out her PhD thesis for SNCF, the french railway company, with ENSTA ParisTech, about railway rolling noise.
Rolling noise is the main source of railway transportation noise for a wide speed range (between 50 and 320 km/h). Rolling noise occurs when a wheel moves on a rail in a straight line. On the same scope, the impact noise is due to discrete irregularities on either of the two structures, such as rail joints or wheelflats.
They trust Cornis