You will master the Digital Cameras to follow the movement of objects in real time and perform facial recognition thanks to this Postgraduate certificate 100% online"

The pandemic caused by COVID-19 prompted significant advances in the field of Machine Vision. These include the development of contact-tracking applications and the use of drones equipped with high-resolution cameras to monitor compliance with social distancing measures and other safety regulations in public areas. In this context, scientists continue to be immersed in both research and development in this field to improve global health through the advanced systems provided by Artificial Intelligence.

To contribute to this important work, TECH has implemented the most updated and complete program in Computer Vision in the academic market. Aimed at professionals, the program will offer the most innovative tools in fields such as Image

Capture Systems, Augmented Reality or Collaborative Robots. To this end, the study plan will delve into the fundamental principles of computer vision, with emphasis on the composition of digital images. Students will learn the keys to the correct use of high-speed cameras to analyze dynamic processes in real time (such as deformation of materials or fluid movement). Likewise, the syllabus will focus on the State of the Art of Artificial Intelligence so that graduates will be aware of how to use them in applications such as the study of space, industrial robotics or for content analysis.

Regarding the methodology of the program, TECH is committed to a 100% online format so that students can enjoy flexible learning while being compatible with the rest of their daily activities. In addition, it is based on the revolutionary Relearning teaching method, which consists of the continuous reiteration of key content so that students can consolidate the concepts in a natural, progressive and simpler way.

You will effectively handle 3D Capture Systems, thus capturing the three-dimensional geometry of the physical world and converting it into digital data"

This Postgraduate certificate in Computer Vision, Applications and the State of the Art contains the most complete and up-to-date program on the market. The most important features include:

• The development of case studies presented by experts in computer science and computer vision
• The graphic, schematic, and practical contents with which they are created, provide scientific and practical information on the disciplines that are essential for professional practice
• Practical exercises where the self-assessment process can be carried out to improve learning
• Its special emphasis on innovative methodologies
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Content that is accessible from any fixed or portable device with an Internet connection

You will delve into the medical applications of Machine Vision and make advances in the analysis of radiographs"

The program’s teaching staff includes professionals from the industry who contribute their work experience to this program, as well as renowned specialists from leading societies and prestigious universities.

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive education programmed to learn in real situations.

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the academic year For this purpose, the students will be assisted by an innovative interactive video system created by renowned and experienced experts.

Are you looking to get the most out of Cloud Computing platforms? Get it through this program in just 12 weeks"

With the revolutionary Relearning method, you will quickly grasp the key concepts offered by this university education"

This Postgraduate certificate will provide students with a comprehensive approach to Machine Vision, Applications and State of the Art. To this end, the didactic materials will delve into the advances that have been made in image capture systems. Likewise, the syllabus will provide the keys to properly handle digital cameras and integrate them to intelligent devices such as drones. On the other hand, the program will delve into the management of the main Cloud Computing platforms to ensure that graduates store and process data efficiently.

You will delve into the multiple applications of Computer Vision and develop the most innovative projects thanks to this program"

Module 1. Computer Vision

1.1. Human Perception

1.1.1. Human Visual System
1.1.2. Color
1.1.3. Visible and Non-Visible Frequencies

1.2. Chronicle of the Computer Vision

1.2.1. Principles
1.2.2. Evolution
1.2.3. The Importance of Computer Vision

1.3. Digital Image Composition

1.3.1. The Digital Image
1.3.2. Types of Images
1.3.3. Color Spaces
1.3.4. RGB
1.3.5. HSV and HSL
1.3.6. CMY-CMYK
1.3.7. YCbCr
1.3.8. Indexed Image

1.4. Image Acquisition Systems

1.4.1. Operation of a Digital Camera
1.4.2. The Correct Exposure for Each Situation
1.4.3. Depth of Field
1.4.4. Resolution
1.4.5. Image Formats
1.4.6. HDR Mode
1.4.7. High Resolution Cameras
1.4.8. High-Speed Cameras

1.5. Optical Systems

1.5.1. Optical Principles
1.5.2. Conventional Lenses
1.5.3. Telecentric Lenses
1.5.4. Types of Autofocus Lenses
1.5.5. Focal Length
1.5.6. Depth of Field
1.5.7. Optical Distortion
1.5.8. Calibration of an Image

1.6. Illumination Systems

1.6.1. Importance of Illumination
1.6.2. Frequency Response
1.6.3. LED Illumination
1.6.4. Outdoor Lighting
1.6.5. Types of Lighting for Industrial Applications. Effects

1.7. 3D Capture Systems

1.7.1. Stereo Vision
1.7.2. Triangulation
1.7.3. Structured Light
1.7.4. Time of Flight
1.7.5. Lidar

1.8. Multispectrum

1.8.1. Multispectral Cameras
1.8.2. Hyperspectral Cameras

1.9. Non-Visible Near Spectrum

1.9.1. IR Cameras
1.9.2. UV Cameras
1.9.3. Converting From Non-Visible to Visible by Illumination

1.10. Other Band Spectrums

1.10.1. X-Ray
1.10.2. terahertz

Module 2. Applications and State-of-the-Art

2.1. Industrial Applications

2.1.1. Machine Vision Libraries
2.1.2. Compact Cameras
2.1.3. PC-Based Systems
2.1.4. Industrial Robotics
2.1.5. Pick and Place 2D
2.1.6. Bin Picking
2.1.7. Quality Control
2.1.8. Presence Absence of Components
2.1.9. Dimensional Control
2.1.10. Labeling Control
2.1.11. Traceability

2.2. Autonomous Vehicles

2.2.1. Driver Assistance
2.2.2. Autonomous Driving

2.3. Computer Vision for Content Analysis

2.3.1. Filtering by Content
2.3.2. Visual Content Moderation
2.3.3. Tracking Systems
2.3.4. Brand and Logo Identification
2.3.5. Video Labeling and Classification
2.3.6. Scene Change Detection
2.3.7. Text or Credits Extraction

2.4. Medical Application

2.4.1. Disease Detection and Localization
2.4.2. Cancer and X-Ray Analysis
2.4.3. Advances in Computer Vision given the Covid19
2.4.4. Assistance in the Operating Room

2.5. Spatial Applications

2.5.1. Satellite Image Analysis
2.5.2. Computer Vision for the Study of Space
2.5.3. Mission to Mars

2.6. Commercial Applications

2.6.1. Stock Control
2.6.2. Video Surveillance, Home Security
2.6.3. Parking Cameras
2.6.4. Population Control Cameras
2.6.5. Speed Cameras

2.7. Vision Applied to Robotics

2.7.1. Drones
2.7.2. AGV
2.7.3. Vision in Collaborative Robots
2.7.4. The Eyes of the Robots

2.8. Augmented Reality

2.8.1. Operation
2.8.2. Devices
2.8.3. Applications in the Industry
2.8.4. Commercial Applications

2.9. Cloud Computing

2.9.1. Cloud Computing Platforms
2.9.2. From Cloud Computing to Production

2.10. Research and State-of-the-Art

2.10.1. Commercial Applications
2.10.2. What's Cooking
2.10.3. The Future of Computer Vision

A unique training experience, key and decisive to boost your professional development"