Learn about the current state of computer vision as a discipline and delve into its applications with this Postgraduate certificate” 

Artificial intelligence and other associated areas such as Machine Learning are the present and the future of technology. They have provided numerous solutions to complex fields such as healthcare, facilitating all kinds of medical processes. Within the field of AI, computer vision emerges as its optical branch, as it is responsible for processing, in an automated way, the visual information it receives. It is, therefore, an area with enormous prospects for the future. 

This Postgraduate certificate in Computer Vision, Applications and the State of the Art focuses on the current state of this technological discipline and delves into its numerous applications. Therefore, throughout this program the computer scientist will be able to learn about the latest developments in aspects such as image indexing, illumination systems, satellite image analysis or its commercial applications. 

And it will do so with a highly qualified teaching staff, an online teaching system that adapts to the circumstances of each student and content presented in multimedia format, such as practical exercises, video lessons, master classes or interactive summaries.

Successfully apply computer vision to your projects thanks to what you will learn in this program”

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

• 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 self-assessment can be used 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

Artificial intelligence is the future: specialize in one of its most important branches and progress professionally”  

The program’s teaching staff includes professionals from the sector who contribute their work experience to this educational 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 student will be assisted by an innovative interactive video system created by renowned and experienced experts.

This Postgraduate certificate is what you were looking for. Don't wait any longer and enroll"

With this program, you will combine Machine Learning with computer vision to create powerful image processing tools"

The contents of this Postgraduate certificate in Computer Vision, Applications and the State of the Art are structured in 2 specialized modules through which the professional can learn about the latest advances in issues such as digital image composition, image capture systems, the operation of digital cameras and their integration into a computer vision system, bin picking or their incorporation into drones. 

Learn about the many applications of computer vision and develop innovative AI projects with 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. Computer Vision Chronicle 

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 Acquisition 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 the 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 Due to Covid-19 
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 the State of the Art 

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

This program offers you the specialization you are looking for and need. Enroll now and access the career advancement you deserve”