Sensor Technology and Image Analysis, 7.5 hp
The course consists of three main parts, sensors, image analysis, and image pattern recognition.
Within sensors, various concepts within optical sensors are treated, as well as the functionality and properties of a number of common sensors within automation, monitoring, and control. Examples of sensors that are treated are cameras, laser distance sensors, spectrometers, and temperature sensors for non-contact measurement.In image analysis, the basic properties of digital images are first addressed. After this, the focus is on finding features in images using, for example, image segmentation. In addition to this, camera calibration is also covered.
In image pattern recognition, methods based on prototype matching, optimal statistical formulation, and neural networks are treated.
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.
PACE OF STUDY
Part-time
TYPE OF INSTRUCTION
On Campus
PROGRAMME/COURSE DATE
TEACHING HOURS
Daytime
APPLICATION DEADLINE
15 April 2026
APPLICATION CODE
HV-E1937
START/END
From v.46 2026 to v.02 2027
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