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Master's degree in Artificial Vision

Responsible Center: Higher Technical School of Computer Engineering    Location: Mostoles Campus
Modality: In‑person  Title code: 6230 Orientation: Professional
Number of ECTS Credits: 60 ECTS  Duration of the Master: an academic year
Public prices: See table
Academic Calendar    Opening hours    Examinations    Teaching Guides    Adaptations table    Faculty
Director of the Master: Mr. Alfredo Cuesta Infante. Phone: 91 488 8567   website
E-mail: 
University master's information: Phone: 91 665 5060   Inquiries Mailbox

International seal of quality EURO-INF
EUR-INF

 

Student attention:    Student Help Box     Suggestions, complaints and congratulations mailbox

Basic Information

What knowledge will I acquire with this Master?

Among the professional applications of Artificial Vision, some could be listed such as: video surveillance and visual control of rooms, analysis and processing of medical images, automatic inspection, interpretation of satellite images, visual verification of bank checks, biometric applications , development of intelligent user interfaces, etc.

Is this degree official according to the regulations required by the European Higher Education Area?

Yes (final verification report is attached), starting the first course in the academic year 2010-11.

Final verification report turned out FAVORABLE

Favorable report first modification

Favorable report second modification

Favorable report third modification

Is it necessary to pass an access test?

It is not necessary.

What is the minimum number of credits for which I can enroll?

You can see it in the rules of permanence in this link

Recommended income profile

Students who have possession of an official Spanish university degree or another issued by a higher education institution of the European Higher Education Area that authorizes access to Master's degrees in the country that issued the degree.

Objectives

This master's degree is designed to offer specialized theoretical-practical training in the field of Artificial Vision. The master's degree provides skills that allow addressing current problems within the specific context of Computer Vision, a field that is expanding and of growing interest in the industry. The objective of the Master is to train the student in:

  • The analysis of problems of practical interest where solutions based on Artificial Vision techniques are applicable in a realistic and efficient manner.
  • The design, implementation and implantation of hardware/software systems based on Artificial Vision
  • The development of Artificial Vision systems oriented to specific areas such as Robotics, Medical Imaging, Document Analysis or Surveillance, among others.
  • The fundamentals of the new trends in Artificial Vision.

Competences

General Competences of the Master:

  • CG01 - Ability to choose the appropriate methodology and techniques to solve a specific problem, as well as detect the applicability of artificial vision techniques to industrial problems.
  • CG02 - Ability to design and develop hardware/software systems aimed at solving specific artificial vision problems in different fields.
  • CG03 - Ability to select the components of the different subsystems that are part of a vision system from among the entire technological offer on the market.
  • CG04 - Ability to develop an original research and/or development work related to one or more of the subjects of this master's degree.

Specific Competences:

  • CE01 - Ability to select and/or implement the necessary mathematical tools to model and solve a specific artificial vision problem.
  • CE02 - Ability to know the main medical imaging modalities and the specific digital image formats in medicine, as well as the main medical image processing and analysis techniques.
  • CE03 - Ability to select the appropriate instrumentation (lighting, capture, processing and visualization devices) to solve a specific artificial vision problem.
  • CE04 - Ability to understand the concept of digital image as well as the general scheme of digital image processing algorithm.
  • CE05 - Ability to know the fundamental algorithms in digital image processing.
  • CE06 - Ability to select the appropriate tools, languages, environments and libraries for each digital image processing problem.
  • CE07 - Ability to apply the most important classification techniques to solve real problems of Artificial Vision.
  • CE08 - Ability to understand and know how to apply basic techniques in dynamic vision problems.
  • CE09 - Ability to apply the most important 3D data acquisition and 3D object representation techniques.
  • CE10 - Ability to glimpse the new paradigms of a scientific discipline in expansion both at the research level and its possible industrial uses.
  • CE11 - Ability to develop and evaluate a prototype of an Industrial Artificial Vision system (eg an automatic document analysis system).
  • CE12 - Ability to know the most relevant problems and proposed solutions in the field of Artificial Vision for Robots.
  • CE13 - Ability to understand the structure and operation of a general biometric system, the most common static and dynamic biometric modalities, and how to evaluate the security and performance of this type of system.

Learning Outcomes

Knowledge

CON1

To delve into the techniques, algorithms and methods, both classic and state of the art, specialized in the identification and verification of biometric features using artificial vision 

CON2 

Identify the most appropriate tools to address a research topic in machine vision. 

CON3

To understand the main lines of optical design, lighting and sensing that will be present in a vision instrument. 

CON4

Understanding the mathematical methods related to algebra, calculus, statistics, and machine learning in image processing tasks. 

CON5

Understanding the techniques, algorithms and models, both classic and state of the art, of machine learning limited to the context of computer vision. 

CON6

Understand both classic and state-of-the-art techniques specializing in digital image processing. 

CON7

List the possible lines of research in computer vision 

CON8 

Understanding some tools for communicating objectives, methodologies, developments, results and contributions of an applied research topic in machine vision. 

CON9

To delve deeper into the different techniques and methods of applying artificial vision in the healthcare field. 

CON10

Understand the techniques, algorithms, and methods, both classic and state-of-the-art, specializing in vision-based navigation and autolocalization. 

CON11

To learn the techniques, algorithms and methods, both classic and state of the art, specialized in tasks of tracking objects or elements of interest in a sequence of images. 

CON12

Understanding the geometric concepts necessary to take 3D measurements in the real world from a multi-camera vision system. 

CON13

Identify the sustainable development goals related to the research topic in machine vision being addressed. 

Skills

HAB1

Employ the latest biometric feature recognition techniques. 

HAB2

Testing and debugging computer vision algorithms in Python and Matlab 

HAB3 

Analyze, choose and operate advanced devices to capture different types of images, beyond traditional 2D RGB cameras. 

HAB4 

Adapting mathematical solutions to research topics in computer vision by transferring theoretical frameworks to other fields such as machine learning. 

HAB5 

Analyze the technical feasibility, requirements, and limitations that may occur in a solution or approach to an applied research topic in machine vision. 

HAB6 

To employ diagnostic and medical intervention techniques with artificial vision. 

HAB7

Applying principles of kinematics and robotic control to dynamic positioning mechanisms for cameras. 

HAB8 

Apply the latest techniques for tracking objects or elements of interest in image sequences 

HAB9 

Use vision geometry (calibrated and uncalibrated) to reconstruct a 3D scene and locate the camera within it.

HAB10

Compare the advantages and disadvantages of scientific communications related to a research topic in machine vision. 

Competences

COM1 

To propose or choose methodologies, algorithms, experiments, and evaluation metrics to address a research topic in computer vision. 

COM2

Estimate the software and hardware requirements for conducting applied research in the field of machine vision. 

COM3 

Apply sustainability criteria to academic training projects, taking into account the environmental impact of the electricity consumption of algorithms, the obsolescence of electronic components, and their potential polluting materials, in order to avoid negative effects.  

COM4

Explain in public the techniques and instrumentation of artificial vision, as well as its impact on society and the environment; adapting your speech with different levels of detail according to the type of audience. 

COM5

Applying the scientific method to research topics in machine vision 

COM6

Drafting funding applications or patents for research projects in artificial vision. 

COM7

Individually, produce an original research paper presenting a problem or challenge in the field of computer vision, listing and relating state-of-the-art solutions, explaining the solution implemented and the results obtained, and discussing new issues to explore. This paper must be defended before a university panel.  

Admission and enrollment

General access regulations and procedures

Information on access and admission of students to master's studies is available at:  https://www.urjc.es/estudiar-en-la-urjc/admision/274-master

The regulations are also published in: https://www.urjc.es/estudiar-en-la-urjc/admision/274-master#normativa-de-masteres-universitarios

Criteria and procedure for admission to the degree

The general requirements for access to University Master's Degrees are, according to article 18 of Royal Decree 822/2021, of September 28, which establishes the organization of university education and the procedure for ensuring its quality, the following:

  1. Possession of an official Spanish Graduate or Graduate university degree or equivalent is a condition for accessing a Master's Degree, or, where appropriate, having another University Master's degree, or titles of the same level as the Spanish Bachelor's or Master's degree issued by universities and higher education institutions in an EHEA country that in that country allow access to Master's degrees.
  2. In the same way, people in possession of titles from educational systems that are not part of the EHEA, which are equivalent to a Bachelor's degree, will be able to access a Master's Degree in the Spanish university system, without the need for homologation of the title, but verification by of the university of the level of training that they imply, as long as in the country where said title was issued it allows access to university postgraduate level studies. In no case will access through this route imply the homologation of the previous degree held by the person concerned or its recognition for other purposes than that of carrying out the Master's degree.
  3. Universities will guarantee transparent and accessible information on admission procedures, and must have student orientation systems. Likewise, they will ensure that said information and admission procedures take into account students with disabilities or with specific needs, and will have appropriate support and advice services.
  4. Universities may exceptionally establish, based on specific regulations approved by their governing bodies, conditional enrolment procedures for access to a Master's Degree. This will consist of allowing a Bachelor's student who has not yet completed the TFG and a maximum of 9 ECTS credits to access and enrol in a Master's Degree, although in no case will they be able to obtain the Master's degree if they have not previously obtained the Bachelor's degree. Universities will guarantee priority in enrolment for students who have an official university degree of Graduate. In this procedure, credits pending recognition or transfer in the Bachelor's degree, or the requirement to pass a certain level of knowledge of a foreign language to obtain the degree, may be taken into account.
  5. Universities or centres will regulate admission to Master's degree courses, establishing specific requirements and, if necessary, training supplements, the credit load of which may not exceed the equivalent of 20 percent of the degree's credit load. The credits for training supplements will be considered in the same way as the rest of the credits in the Master's degree curriculum.
  6. Universities will reserve at least 5% of the places offered in official Master's degrees for students who have been recognised as having a disability of 33% or more, as well as for students with permanent educational support needs associated with personal circumstances of disability, who in their previous studies have required resources and support for their full educational inclusion.

ADMISSION

The Rey Juan Carlos University does not have specific admission regulations, but is governed by article 18 of Royal Decree 822/2021, of September 28. Each degree has its own general access criteria and special access tests.

Admission to the University Master's Degrees will be carried out through a selection process; In some cases, this process may involve a selection test. The Master's Management will inform interested parties what the selection test will consist of, as well as the exact date and place of completion through this application and by means of a notice via email.

GENERAL ACCESS CRITERIA

Access to the master's program is possible from two types of qualifications:

1. Direct access for full completion of requirements. This applies to degrees whose curriculum includes each and every one of the following compulsory subjects: imperative programming, algebra, calculus, and probability and statistics. In addition, the inclusion of object-oriented programming and data structures is considered a plus. For example, at URJC, these degrees would include Computer Engineering, Software Engineering, Video Game Design and Development, Cybersecurity, Data Science and Engineering, Artificial Intelligence, Robotics and Software Engineering, Telecommunications Systems Engineering, Audiovisual and Multimedia Systems Engineering, Telecommunications Technologies Engineering, Telematics Engineering, Biomedical Engineering, Aerospace Engineering, and Industrial Electronics and Automation Engineering.

2. Admission with supplementary coursework. If you come from a different degree program (and are admitted to the master's program by meeting the cut-off score), you must complete the following subjects from the Bachelor's Degree in Artificial Intelligence at Rey Juan Carlos University as supplementary coursework:

  • PROGRAMMING 1 (6 ECTS)
  • PROGRAMMING 2 (6 ECTS)

This master's degree provides students of these degrees with a specialization in artificial vision techniques and their applications in different fields.

SPECIAL ACCESS CONDITIONS OR TESTS

Every student pre-enrolled in the master's program receives a score based on the documentation submitted. 

This score is the result of a weighted sum that measures various dimensions of the applicant. A score of 5 out of 10 is required for admission. If there are more applicants than available places, the scores will be used to rank them from highest to lowest, and the selection process will begin with the first applicant on the list until all places are filled. Those who are not admitted will be placed on a waiting list.

Required documentation                           Weight

Degree 30%

Average grade of the academic record 20%

TFG or TFM completed 20%

Previous experience in machine vision 20%

Cover letter 10%

Candidates who have passed the compulsory subjects mentioned in the general admission criteria and have at some point taken the other subjects (even if they have not yet passed them, in the case of conditional enrollment) receive a grade of 10 out of 10. Those who have only passed the compulsory subjects receive a 7 out of 10. The rest receive 0 out of 10. The Final Degree Project (TFG) or Master's Thesis (TFM) (if the candidate already has a master's degree) is awarded 2 points out of 10 for each subject of the master's degree related to the work carried out, up to a maximum of 5 subjects.

The experience in artificial vision gets 1 point out of 10 for each month of activity related to any of the techniques explained in this master's program, reaching saturation in 10 months.

The motivation letter receives 10 points out of 10 depending on how well the candidate conveys their interest in the master's program, the reasons that led them to apply for pre-registration, and their commitment to completing it.

Offer of places: 30 seats. If the minimum number of students envisaged is not reached in a course, the University may choose not to open the teaching group.

See admission and enrollment

Training itinerary

Master's Teaching Guides

ACCESS TO ALL UNIVERSITY TEACHING GUIDES

Training Itinerary

Material resources

Material resources

External Internships

This master's degree does not plan to carry out External Internships

Mobility programs

University Master's degrees, due to their duration and characteristics, in general do not specifically contemplate the mobility of their students. However, the Rey Juan Carlos University has different mobility programs for both students and University workers (PDI and PAS) and has procedures for collecting and analyzing information on these mobility programs.

URJC Mobility

Regulation

STUDENTS

TEACHING COORDINATION

COEXISTENCE REGIME

SCHOOL INSURANCE

ASSOCIATIONS

EVALUATION

  • Article 6.1.2. The favorable resolution of the request for total cancellation of registration does not necessarily imply the refund of the amount paid by the student. To do this, the requirements established in the Article 10.3 of the present regulations.
  • Article 11.3.  The extension of the period of permanence will be requested through the procedure established for this purpose by the Rey Juan Carlos University in the electronic office, within the established period. The Rector may authorize the continuation of studies in those cases in which exceptional causes, duly documented, have affected the academic performance of the students., valid for that academic year (up to a maximum of one year). 
  • Article 11.4.  In accordance with what is established by the Article 4 of these regulations, those students whose request to remain is resolved favorably will have to enroll in all the remaining subjects to complete their studies.
  • Article 11.5.  For subjects with an indefinite call, once the extension of the permanence period is granted, the fees corresponding to the second and successive registrations will be paid according to the corresponding Public Price Decree as long as they have been previously enrolled in that subject.
  • Article 12.4.  Once this is granted, the student must enroll in accordance with the provisions of the Article 4 of the present regulations.
  • Article 12.5.  For subjects with an indefinite call, once continuity in the University Master's studies is granted, the fees corresponding to the second and successive registrations will be paid according to the corresponding Public Price Decree as long as they have been previously enrolled in that subject.

 

Quality guarantee

RUCT link

BOCM Link

Internal quality assurance system

Manual of the Internal Quality Assurance System

Composition of the commission

Composition of the commission

Results report

Once the monitoring of the Master's Degree has been carried out, the most relevant quantitative information on the results obtained in the monitoring of said Degree is displayed, differentiated by academic year.

Report by course:    

General information collection plan

Within the quality assurance system of the Rey Juan Carlos University, the following surveys are planned:

- Student profile

- Teacher evaluation

- Degree of satisfaction:

  • Of the students
  • of the graduates
  • From the Faculty
  • Technical, Management, Administration and Services Staff

- Labor insertion

- External internships:

  • Satisfaction of interns
  • External tutor satisfaction
  • Employer satisfaction

Survey results:

Improvement actions

The Quality Assurance System of the Rey Juan Carlos University establishes that the degree's Quality Assurance Commission will annually analyze the information derived from the degree's indicators and prepare a report that will include improvement plans if the results so indicate.

Renewal of accreditation

The renewal of the accreditation represents the culmination of the implementation process of the official Bachelor's and Master's degrees registered in the Register of Universities, Centers and Degrees (RUCT). The renewal of the accreditation of official bachelor's and master's degrees is organized in three phases: self-assessment report, external visit and final assessment.

In the first phase, the university describes and assesses the status of the degree with respect to the established criteria and guidelines. The result is the Self-Assessment Report (IA) that is presented. The second and third phases are carried out by a group of evaluators external to the evaluated title.”

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