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// Industrial computer vision

// Introduction and objectives of the course

Reaching optimal quality in the production of manufactured goods is a challenge that the European industry faces on world markets. This is why several manufacturing plants have been equipped with robots which control automatically the quality of manufactured goods (metrology, visual control). This development entails an important demand for highly qualified technicians able to set up, parameterize and maintain such an advanced vision system.

Subjects include industrial computer vision, robot vision and control quality. Students learn to:

  • Set up industrial vision automation systems
  • Use and monitor automation machines
  • Manage the industrial production quality control processes
  • Devise technological solutions for the customer
  • Work with engineers
  • Develop new strategies of production quality control

The course is also an introduction to the quality control requirements in industrial production and develops the students’ organizational skills to make them able to supervise team work and manage technical projects.

// Admission requirements

The students eligible for the course are:

  • Students with a two-year undergraduate degree in related subjects (industrial product design, mechanical and automation processes, computer science and industrial network, electrical engineering, mechanical engineering)
  • Students who have successfully completed the fourth semester of a scientific and technological degree (electronic or electrical engineering and automation speciality)

Admission is granted after assessing the student’s application form, and the applicant’s skills and motivation after taking an interview and writing a covering letter.

// Course structure and content

This vocational training consists of 440 hours of tutorials, 100 hours of tutored projects and a 12-week industrial placement. This curriculum includes various subjects.

S5: 30 ECTS
TU 1: industrial control, programming
TU 2: quality management and metrology
TU 3: mechanical design and modelization
TU 4: signal analysis
TU 5: English
TU 6: communication techniques
S6: 30 ECTS
TU 7: industrial vision
TU 8: electrical maintenance
TU 9: design methodologies
TU 10: tutored project
TU 11: work placement (16 weeks)

// Career prospects

Many graduates can work as:

  • industrial process control laboratory technicians,
  • automation system coordinators,
  • quality control managers,
  • industrial research and development managers…

// Contact

Tel: + 33 3 62 26 82 68 / 70

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Address: IUT A de Lille – Département GMP – BP 90179 – 59653 Villeneuve d’Ascq CEDEX – FRANCE

// Location

CREST, Le Recueil, rue de la recherche, Villeneuve d’Ascq