Machine Vision and AI, 6 hp

The course provides an introduction to image pattern recognition using Artificial Intelligence (AI). It offers foundational knowledge of key concepts, algorithms, and techniques used to analyze and interpret visual data in automated systems. The course covers various types of AI algorithms for navigation and tracking in both two-dimensional and three-dimensional environments for robot-based systems.

FACTS

CYCLE

Second cycle

ENTRY REQUIREMENTS

Degree of Bachelor of Science in computer engineering, electrical engineering, mechanical engineering or industrial engineering and management. Additionally, the Bachelor of Science degree must be comprised of a minimum of 5 HE credits in programming and 15 HE credits in mathematics. Verified knowledge of English corresponding to the course English 6 or English level 2 in the Swedish Upper Secondary School (high school) or equivalent.

Additionally required an approved result from the following course/courses: RBK600 Robot Certificate and RCS600 Robotic Systems or the equivalent.