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Other Courses of the Study Programme

Course year: 1

2D VISION SYSTEMS - 6 credits - Characterising
3D VISION SYSTEMS - 6 credits - Student's own choice
ANTENNAS - 6 credits - Student's own choice
APPLIED ECONOMICS IN ENGINEERING - 6 credits - Related/Supplementary
BIOMEDICAL APPLICATIONS FOR HEALTH AND WEALTH - 6 credits - Student's own choice
COMPLEX SYSTEMS ANALYSIS AND CONTROL - 6 credits - Student's own choice
CONDENSED MATTER PHYSICS - 6 credits - Related/Supplementary
CONTROL SYSTEMS TECHNOLOGIES - 9 credits - Student's own choice
ELECTRONIC CIRCUIT DESIGN - 9 credits - Characterising
ELECTRONIC DEVICES - 6 credits - Characterising
ELEMENTS OF SOFTWARE DESIGN - 6 credits - Student's own choice
INDUSTRIAL AND SERVICE ROBOTS - 6 credits - Student's own choice
MEASUREMENT METHODS OF BIOMEDICAL DATA FOR HEALTH AND WEALTH APPLICATIONS - 6 credits - Student's own choice
METHODS OF ELECTRICAL NETWORK ANALYSIS - 6 credits
MICROWAVE ENGINEERING - 6 credits - Student's own choice
MOBILE PROGRAMMING - 6 credits - Student's own choice
MODELLING AND SIMULATION OF DYNAMIC SYSTEMS - 6 credits - Related/Supplementary
OPTICAL COMMUNICATION COMPONENTS - 6 credits - Student's own choice
SCIENTIFIC COMPUTING - 6 credits - Related/Supplementary
SENSORS
Attendance grouping
9 credits - Raggruppamento di frequenza
SMART SENSORS AND FIELDBUS - 6 credits - Characterising

Course year: 2

3D VISION SYSTEMS - 6 credits - Student's own choice
ANALOG INTEGRATED CIRCUIT DESIGN
Attendance grouping
9 credits - Raggruppamento di frequenza
ANTENNAS - 6 credits - Student's own choice
BIOMEDICAL APPLICATIONS FOR HEALTH AND WEALTH - 6 credits - Student's own choice
COMPLEX SYSTEMS ANALYSIS AND CONTROL - 6 credits - Student's own choice
CONDENSED MATTER PHYSICS - 6 credits - Related/Supplementary
CONTROL SYSTEMS TECHNOLOGIES - 9 credits - Student's own choice
DIGITAL SYSTEMS AND ARCHITECTURES - 6 credits
ELECTRONIC DEVICES - 6 credits - Characterising
ELECTRONIC SYSTEM DESIGN
Attendance grouping
12 credits - Raggruppamento di frequenza
ELECTRONICS FOR BIOMEDICAL APPLICATIONS - 3 credits - Student's own choice
ELEMENTS OF SOFTWARE DESIGN - 6 credits - Student's own choice
FINAL THESIS - 18 credits - Language/Final Examination
INDUSTRIAL AND SERVICE ROBOTS - 6 credits - Student's own choice
INSTRUMENTATION ELECTRONICS, SENSORS AND MICROSYSTEMS - 9 credits - Characterising
INTEGRATED CIRCUIT DESIGN - 3 credits - Student's own choice
MEASUREMENT METHODS OF BIOMEDICAL DATA FOR HEALTH AND WEALTH APPLICATIONS - 6 credits - Student's own choice
METHODS OF ELECTRICAL NETWORK ANALYSIS - 6 credits
MICROELECTRONICS - 6 credits - Student's own choice
MICROWAVE ENGINEERING - 6 credits - Student's own choice
MOBILE PROGRAMMING - 6 credits - Student's own choice
NANOPHOTONICS - 3 credits - Student's own choice
OPTICAL COMMUNICATION COMPONENTS - 6 credits - Student's own choice
PLC AND SCADA - 3 credits - Student's own choice
POWER ELECTRONIC SYSTEMS - 6 credits
PRACTICAL CHEMISTRY FOR NANOTECHNOLOGY - 3 credits - Student's own choice
PRINCIPLES OF BIOLOGY AND BIOMEDICINE
Attendance grouping
6 credits - Raggruppamento di frequenza - Student's own choice
SCIENTIFIC COMPUTING - 6 credits - Related/Supplementary
SMART SENSORS AND FIELDBUS - 6 credits - Characterising
SYSTEMS AND INSTRUMENTATION FOR AUTOMATION
Attendance grouping
9 credits - Raggruppamento di frequenza

2D VISION SYSTEMS

Single discipline educational activity

Course Sheet

Academic Year of enrolment:

2016/2017

Academic Year of provision:

2016/2017

Type of Course:

Characterising

Degree:

Master's Degree Programme in ELECTRONICS ENGINEERING

Disciplinary Sector:

Electric and Electronic Measurement Systems

Language:

Italian

Grouping type:

Credits:

Programme Year:

Professor and Collaborators:

SANSONI Giovanna Professor

BODINI Ileana Collaborator

Cycle:

Second semester

Hours of classroom activity:

Hours of individual study:

Basics of linear systems, and signal filtering techniques.

Educational Goals

The aim of the course is to give students the basic elements to understand the most important aspects, applications and problems of vision system for industrial applications.

A 'learn by doing' approach is followed, to let students to directly experiment and learn the most important aspects of 2D vision systems.
Special care is dedicated to the design of the systems starting from pre-determined input requirements.
The aim is to let the students to design, to develop and to matrologically validate their system.

Content

Students will learn basic concepts in the following fields:

Virtual instrumentation for image acquisition;
The software platform for image acquisition, communication and control;
The design of vision systems for the solution of problems of measure and detection in on-line industrial applications;
The study of image processing elaboration channels widely used in industrial lines;
The study of the graphical platform for developing the elaboration software (LabView)

The topics are as follows:
VIRTUAL INSTRUMENTATION: modular instruments for image acquisition; LabView: the graphical platform.

2D VISION SYSTEMS: Camera technology; lighting systems; lenses and optics; vision hardware.

IMAGE PROCESSING TECHNIQUES: Fundamentals; enhancement operations; filtering operations; bar codes detection; character recognition; frequency transformations; edge detection, templare matching, camera calibration.

Extended Syllabus

VIRTUAL INSTRUMENTATION

Modular instrumentation.
Software for modular instrumentation (the Labview platform).

2D VISION SYSTEMS

Camera technology.
Illumination techniques.
Lenses in Vision systems.
Hardware for vision (NI platforms).
Image processing operations.
Single pixel processes.
Group based processes.

Recommended Bibliography

Couse Material: tutorial and presentations downloadable from the e-learning site.

Methods of Provision

Conventional

Teaching Methods

Classroom and laboratory lessons: programming techniques in the LabView platform are used to experimentally verify the theory.
The optical and mechanical components required to implement the vision system are available for each single student, to let him to directly experience the design and development process required to obtain the final measurement system.

Assessment Methods

The course is oriented to a practical implementation of the theory. Theory and implementation are mixed-up and directly experienced in the laboratory.
To pass the exam, students are required to design, implement and to test a vision system.

Assessment:

Final Mark

Programme of Educational Activities

Start date of teaching period:

Monday, February 20, 2017

End date of teaching period:

Friday, June 9, 2017

Other Information

No other information