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Interface - Inria's exhibition space

© Inria / Photo Raphaël de Bengy

Interface, located at EuraTechnologies, is the result of a joint work between Inria Lille - Nord Europe center and its partners. It's a space for demonstrators and interactions between researchand indusry.

Demonstrators produced by research

The Interface is the technology demonstrator space at at the Inria Lille-Nord Europe research centre. Situated at the heart of Lille French Tech, in the EuraTechnologies ecosystem, the Interface presents the work of joint project teams with our digital sciences partners.

These demonstrators are a way of sharing the latest research carried out by scientists and industrials, in robotics, artificial intelligence, data processing, the internet of things, human-computer interaction and optimisation.

A space that fosters interaction

The purpose of this space is to foster and facilitate interactions between the scientific community, the business world and society. It has been designed as a technology intelligence tool and a forum for exchanges focused on innovation in the digital field. Events are organised throughout the year to meet the expectations of companies involved in the digital sector.

Inria start-up culture

A "start-up corner" area is present in the Interface. It presents the start-up stemed -or in project- from the research leaded in Inria Lille reasearch teams. Inria raises awareness and supports its employees in their entrepreneurial creations to encourage technological innovation.

A link between art and science

Interface was designed following a common theme: the link between science and art. The architecture and design of this space refer to this link. Among the references to art: the Fibonacci spiral designed on the ground, the furniture designed according to the proportions of the golden ratio, as well as a mural and a window decals created by a duo of local artists, Dr Colors.

Discover our demonstrators

Latency compensation

© Inria / Photo Raphaël de Bengy

This demonstrator on a tablet highlights the reduction in latency in interactive systems. It demonstrates a real-time compensation technique for this lag between the movement of the finger and that of the object on the screen, to improve the efficiency of the interaction and the subjective preferences of users.

Demonstrator produced by the Loki project-team and Valse team, in conjunction with the University of Lille as part of ANR TurboTouch.

CrossTweets: semantic and dynamic crosswords

© Inria / Photo Raphaël de Bengy

The demonstrator consists of a dynamic, thematic crossword generator, based on Twitter threads. This application illustrated two of the Links team's research themes: real-time data stream queries, on the one hand, and knowledge bases and the semantic web, on the other. 

Demonstrator produced by the Links project-team.

A dialogue with Artificial Intelligence

© Inria / Photo Raphaël de Bengy

GuessWhat?! and Visual QA are two interactive games designed to initiate computers into our language. They demonstrate computers' ability to dialogue naturally starting based on an image thanks to reinforcement learning.

Demonstrator produced by the Sequel project-team in conjunction with the University of Lille, the MILA and IGLU as part of the CHIST-ERA project.

Echelon III: a flexible spine robot

© Inria / Photo Raphaël de Bengy

The demonstration shows an example of a possible use for a deformable robot: inspection. The robot's head is equipped with a camera that enables it to go and inspect different places in a white box. Its capacity for distortion enables it to get round obstacles. Its flexibility makes it less offensive in its environment. Its 10 motors facilitate its dexterity.

Demonstrator produced by the Defrost project-team.

Order picking optimisation: InriaTECH contract in collaboration with Jules

© Inria / Photo Raphaël de Bengy

The Inocs research team has worked with a retailer, Jules, on optimising order picking operations in the brand's warehouses. The idea was to improve the process of preparing and shipping 4,000 parcels a day to its 440 stores. The objective was to re-organise the entire dispatch chain by rethinking the locations of the products in the warehouses, the constitution of the parcel contents and the organisation of the delivery rounds.

Demonstrator produced by the Inocs project-team in conjunction with Jules and FlexSim.

Versatile gripper: InriaTECH contract in collaboration with TDR

© Inria / Photo Raphaël de Bengy

This gripper is capable of gripping perfume bottles in an optimum way whatever their shape and position. "The project set up with Inria started out from a desire to imagine a versatile, affordable solution liable to provide an alternative to the costly conventional devices of industrial robotics, positioning masks and various complex conveyors," explains Dominique Watier, Director of TDR.

Demonstrator produced by the Defrost, project-team in conjunction with TDR. Contacts initiated by the Matikem competitiveness cluster.

Smart Containers: illustration of a collaboration with TRAXENS

© Inria / Photo Raphaël de Bengy

TRAXENS is a start-up that had a clear ambition: to design a low-cost solution that would benefit all the players in international trade – shipping operators, carriers, logistics specialists, manufacturers, etc - for whom tracking and monitoring containers is a key issue, in terms of both security and profitability. In the course of the preparation of a CIFRE industry-based thesis, a PhD student on the Fun project team has developed a system enabling containers to communicate with each other and even to elect themselves those that will be network heads, depending on the state of their battery and their position in relation to the GSM or satellite signal.

Demonstrator produced by the Fun project-team, with TRAXENS.

Smart Data: InriaTECH contracts in collaboration with Alstom and HDFID

© Inria / Photo Raphaël de Bengy

Smart Data illustrates the analysis of varied data based on advanced statistical methods, based in part on the MixtComp software. The software illustrates how to make the most of big data, by enabling it to be classified, predicted and interpreted.

Demonstrator produced by the Modal, project-team, in conjunction with Alstom and HDFID. Open data sources: Atos, Insee/MEL, J.C. Decaux and SNCF.

Keywords: Technology transfer Demos Interface Inria Lille - Nord Europe research centre EuraTechnologies