Checking date: 30/04/2020


Course: 2019/2020

Research Technologies I
(17436)
Bachelor in Management of Public Security (Plan: 377 - Estudio: 341)


Coordinating teacher: VERGAZ BENITO, RICARDO

Department assigned to the subject: Computer Science and Engineering Department, Electronic Technology Department

Type: Compulsory
ECTS Credits: 3.0 ECTS

Course:
Semester:




Requirements (Subjects that are assumed to be known)
Subjects related to Mathematics, Physics and Electrical and Electronic Engineering Fundamentals
The competences expected to be acquired by the student are the following: - Be able to specify, design and evaluate electronic instrumentation systems and optoelectronic systems for Security applications. - Ability to design, analyze, optimize, install and maintain different energy conversion systems. This requires achieving learning outcomes are summarized below: - Knowledge about the general concepts associated to the measurement of physical parameters and instrumentation - Knowledge about the different kind of sensors and transducers and their applications. - To know the main features and functionalities of video cameras and other kind of image acquisition devices (CCD, CMOS) - To know IR image monitoring systems, as well as night vision devices
Description of contents: programme
Chapter 1: Introduction 1.1: Overall introduction to the course 1.2: Data acquisition needs in Security applications 1.3: Fundamentals on instrumentation and optics Chapter 2: Static image acquisition 2.1: Block diagram 2.2: Capture parameters: Specifications and Limitations 2.3: Integration and communication interfaces 2.4: Data coding 2.5: Examples Chapter 3: Dynamic image acquisition 3.1: Block diagram 3.2: Capture parameters: Specifications and Limitations 3.3: Integration and communication interfaces 3.4: Data coding 3.5: ExamplesTema 3: Sistemas de captura de imágenes dinámicas Chapter 4: Other image acquisition devices 4.1: NIR cameras 4.2: FIR, thermal cameras 4.3: X-Ray systems 4.4: Millimeter wave based acquisition of images 4.5: Medical image based systems and emerging technologies Chapter 5. Security applications 5.1: Fire detection 5.2: People detection on open fields 5.3: Human recognition under cooperative environments 5.4: Human recognition under non-cooperative environments
Learning activities and methodology
There are face-to-face activities as well as remote participation. - Face-to-face ECTS: 1.2 credits, related to the classroom attendance as well as exercise resolution and in depth analysis with the help of the lecturer. - Remote participation ECTS: 1.8 credits, related to a personal research work and the continuous study of the subject and exam preparation.
Assessment System
  • % end-of-term-examination 60
  • % of continuous assessment (assigments, laboratory, practicals...) 40

Basic Bibliography
  • Fredrik Nilsson and Communications Axis. Intelligent Network Video: Understanding Modern Video Surveillance Systems. CRC Press.
  • Julie K. Petersen. Understanding Surveillance Technologies: Spy Devices, Privacy, History & Applications. Taylor & Francis Group, LLC.
  • N. K. Ratha, Venu Govindaraju. Advances in Biometrics: Sensors, Algorithms and Systems. Springer.
  • Raúl Sánchez Reíllo. Transparencias de la Asignatura. Universidad Carlos III de Madrid. 2018
Recursos electrónicosElectronic Resources *
Additional Bibliography
  • Omar Javed and Mubarak Shah. Automated Multi-Camera Surveillance: Algorithms and Practice. Springer.
(*) Access to some electronic resources may be restricted to members of the university community and require validation through Campus Global. If you try to connect from outside of the University you will need to set up a VPN


The course syllabus may change due academic events or other reasons.