Information societies technology

C7.7 University of Rennes 1 (Géosciences Rennes)

Company profile – www.univ-rennes1.fr

University of Rennes is one of the largest university of western France (more than 24500 students ; 1400 teachers and permanent researchers). It is includes three components :

Law, Economy, Management, Philosophy (5 Institutes and Faculties), Health (3 Faculties), Sciences and Technology (8 Institutes, Schools and UFR). Research is very active in the University of Rennes1 with 47 Research Units and 7 Research Federations.

Géosciences Rennes Unit- Erreur! Signet non défini.

Géosciences Rennes is a « Unité Mixte de Recherche » (UMR 6118) of the CNRS (French National Centre for Scientific Research) and of the University of Rennes 1. It is located on the University campus of Beaulieu. Géoscience Rennes is part of the « Armorican Centre for Research on Environment », i.e. a Federation of Research (FR 2116) of the CNRS. Géosciences Rennes is one of the leader Research Team on « Solid Earth » projects of the « Département des Sciences de l’Univers » of the CNRS.

Managers : François GUILLOCHEAU (director), Gérard GRUAU (vice-director), : Cécile Dalibard-Raout (administration)

Staff : 75 permanent researchers and teachers, 45 PhD students and Post-doctoral positions

Topics : Two mains scientific aspects of Earth Sciences are developed : the first deals with the « Deap Earth » ; the second concerns the geology of the surface of the Earth and environment problems. Géosciences Rennes has a long multidisciplinary experience in geology, palaeontology, geochemistry and geophysic.

Key persons

Florentin Paris obtained his National Thesis of Earth Sciences ("Docteur d'Etat en Sciences de la Terre") of Rennes University in 1980. He is now a Research Director (DR1) at the French National Centre for Scientific Research (CNRS). He is a full time senior researcher in Earth Sciences, active in both academic research and industry investigations. He works in High resolution biostratigraphy (used fossil group: chitinozoans), and Biodiversification through the Ordovician System (Co-leader of a UNESCO project: IGCP n° 410, with B. WEBBY, Australia, and M. DROSER, USA). He supervised 14 PhD and doctoral thesis (1976-2002) and has worked as consultant (expert on chitinozoans and biostratigraphy) for various major oil companies. As an academic researcher, he has more than 150 papers in international journals. He is a member of the National commission of the French CNRS, and acted as referee for international projects or grant applications.
Danièle Bernard is a technician at the French CNRS. She is in charge of the processing and sorting of the organic walled microfossils (especially the chitinozoans) and of their image processing (MEB and microscope photos). She has prepared several databases (e.g. database of the chitinozoan species).

Selected References

• 
  Paris, F., Grahn, Y., Nestor, V.& Lakova, I. . 1999 revised chitinozoan classification. Journal of Paleontology. 73 (4): 547-568
  
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  Paris, F. & Nolvak J. 1999. Biological interpretation and paleobiodiversity of a cryptic fossil group: the "chitinozoan-animal". Geobios, 32, 2: 315-324
  
• 
  Paris F., Verniers J & Al-Hajri S. 2000 Ordovician chitinozoans from Central Saudi Arabia. GeoArabia Special Publication n° 1, pp. 42-56.
  
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  Paris, F., Winchester-Seeto, T., Boumendjel, K. and Grahn, Y. 2000. Toward a global biozonation of Devonian chitinozoans. Cour.Forsch.-Inst.Senckenberg. 220 : 39-55
  
• 
  Paris, F., Bourahrouh A. & Le Hérissé A. 2000. The effects of the final stages of the Late Ordovician glaciation on marine palynomorphs (chitinozoans, acritarchs, leiospheres) in well Nl-2 (NE Algerian Sahara). Rev. Palaeobot. Palynol. 113, 1-3: 87-104
  

C7.8 TIMEAT SA

Company profile - www.timeat.fr

In 1989, engineers and doctors working for INRIA, INSA and IFSIC, decided to join their skills in order to valorise their research creating TIMEAT. In 1992, TIMEAT became a limited company located in Bretagne (West of France) on the Rennes Atalante Technopole. TIMEAT employs 11 engineers specialised in image processing and software developments.
TIMEAT develops its activities according three areas based

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  on the integration of vision systems:
  
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  on the development of software dedicated for control test or OEM products.
  
• 
  on the integration of intelligent video observation systems
  

One of the goal of TIMEAT is the valorisation of research developments. It is why collaborations with laboratories are search.

Vision

TIMEAT developed and integrated vision systems since more than 12 years. More than 1500 systems already installed. The main jobs company is :

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  Design of machines specialised in vision Automatisation of quality control - 2D and 3D metrology - Detection of defects - Control of aspect
  

Machine servomechanism

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  Integration of vision system Easy applications on systems which can be parameterised - Design of vision development
  

OEM partnership - Stages management

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  Image Processing Modules of image processing - Modules of image sequence processing - Module of identification and recognition of documents - Image database
  

Industrial software development

Most of the vision systems have required the development of different applications: computing, industrial computing, database management and telecommunications.

That allows us to acquire abilities and experience in developing applications where vision does not necessary intercede.

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  Communication interfaces
  

TCPIP networks interfaces - Modem, RNIS, Internet - HPIB dialog, piloting of a COM/DCOM vector analysis, TSUNAMI type (AGILENT) - Signal acquisition - Radio transmission and carrier current

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  Computing abilities
  

Active X Control - SQL database,Access, DAO, ODBC - COM/DCOM - Windows 98, NT, CE

Piloting of scanners (TWAIN) - Man/machine interfaces - Complete testing bench - Development of boards drivers (NT, Win 95)

• Intelligent video observation

Our works have been introduced during doctoral thesis done in INRIA but also in collaboration with research centre. Based on these elements and link to our experience, TIMEAT is enable to realise most of the active video surveillance applications.

We have worked in the following sectors:

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  Road video surveillance
  

Automatic incident detection - Traffic data collection - Special functions combined with Vidéo-surveillance
Car parks and crossroads surveillance - Automatic Reading of car plate - Maintenance of robot of cameras.

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  Security video surveillance
  

Intrusions - Vandalism - Areas surveillance

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  Image tools and processing
  Communications, System - Modules of TCPIP telecommunications - Digital video recorder
  Video transmission via RTC or RNIS - Identification
  

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  Hardware architectures
  

Image treatment system - Embedded systems - Windows CE

EC Projects

TIMEAT had worked on two ECC projects :

• 
  OMEGA : the goal of this application is to define a new generation of 3D sensor without contact for metallurgy. The project needs to integrate a system in real conditions in order to test the performance of the Conoscopic system in these real conditions. The participation of TIMEAT concern the development of processing software, interfaces, and integration of the global technical solution..
  
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  PASSWORD : participation on new generation of video monitoring system including the automatic analysis of people position for prevention of vandalism in metro infrastructures.
  

Key persons

Thierry DANIEL received his PHD at Rennes University in 1989 in collaboration with INRIA and Geology dept. Since 1989, Thierry DANIEL is the CEO and R&D manager of TIMEAT. He supervised one thesis on 3D measurement and many students in relation to R&D projects.

Jean Luc CORRE received his DESS at Rennes University in Image and synthesis processing in 1986. He is the software manager of TIMEAT since this date and has a very important experience of management of project in relation to 3D measurements, software developments in image processing, integration of know how of research centre in prototype.

He participated to the Password Project. He also developed application in relation to 3D imaging and learning with confocal sensor.