The  artificial vision  initially used in industry and quality system of production, but its rapid development has made  possible to use in metrology and measurement method , with accuracies below one tenth of a millimeter, or even used to obtain the 3D model of the examined object. Currently, thanks to artificial vision, it is possible to guide robots that operate or capture moving parts without having to stop the chain that transports them.

The approach of the  Artificial Vision Course  offered by SEAS is eminently practical, fully addressing artificial vision in a modern way. They will study from the different technologies, lighting, cameras, optics, or a variety of capture hardware, to the different types of software that exist. Although the   best-known applications of machine vision are often in industry, it has numerous scientific, medical, security, and surveillance applications.

With this computer vision  course you will  learn to analyze images and videos to obtain data that can be used directly, stored, compared with others to perform actions in real time, or process them to build virtual 3D models

course objectives: Artificial Vision Course

You will learn to:

• Have a general knowledge of  artificial vision and its possibilities
• Know the different types of lighting, and have enough knowledge to make a proper selection of it
• Select the most suitable lens based on optical criteria, field of vision, distance between camera and object, size and quality of the camera sensor, depth of field, resolution, etc.
• Know the  artificial vision cameras  and the special characteristics that other cameras do not have, being able to select them based on their shutter, integration, pixel clock, asynchronous capture, Synchronization, etc.
• Know how to select the  capture plate (frame grabbers)  and its most appropriate characteristics
• Choose the most suitable artificial vision solutions and implement them for optimal operation, taking into account the different existing technologies
• Know an overview of the  current types of software  practicing with two different types of artificial vision software

professional outings: Artificial Vision Course

With this course you will be able to train to work as:

• Designers
• Integrators and operators of artificial vision in areas and facilities of all kinds

San Jorge University degree: Artificial Vision Course

Upon successful completion of the course, you will obtain a degree in Computer Vision Course  issued by  Universidad San Jorge  (6 ECTS credits).

To access one of our  Technical Courses  , one of the following requirements must be met:

• Being over 18 years

In this case, the title of Technical Course is issued indicating the content and duration of the study in hours. It does not award ECTS.

Or meet one of the following requirements:

• Be in possession of the Bachelor’s degree or declared equivalent. Also graduates in European Baccalaureate and International Baccalaureate, or equivalent to baccalaureate degrees from educational systems of member states of the European Union or other non-member states
• Be in possession of a qualification of Superior Technician of Professional Training, or of Superior Technician in Plastic Arts and Design or Superior Sports Technician
• Be over 25 years of age with at least 1 year of accredited professional experience related to the content of the training
• Be a university graduate

In any of these cases, the title of Technical Course is issued indicating the content, duration in hours of study and ECTS credits awarded.

SEAS courses prepare you to master the essential operations in your area, providing you with all the necessary tools to do so. In addition, they give you access to your  own virtual classroom  with live classes through Webinars and guarantee specific practices of your specialty.

You will learn to work with:

• Sherlock  version 7.180, computer vision program.