After successful completion of the course, students are able to estimate and also carry out development projects in the field of computer vision. Important insights concern all individual steps of a computer vision project: this starts with planning and effort estimation, includes data acquisition and data quality assessment, implementation and evaluation of the results, but also questions of interdisciplinary collaboration, as well as legal and ethical considerations.

Working with:

• div. Hardware: RGB-D, Thermal Sensors, ...
• Axis & Sony Network Cameras
• IoT Devices
• Deep Learning Infrastructure
• Practical problems

• Literature search and implementation

• Data acquisition and data analysis

• Design and planning of experiments

• Evaluation and testing

• Field trip to companies in the field of computer vision

• Expert discussion

ECTS Breakdown: 4.5 ECTS = 112.5h
12.5h    Work defintion
90.0h    Programming
5.0h      Writing the document
5.0h      Preparation and presentation of the work
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112.5h

Intermediate results and final results are presented and evaluated. Projekt planning, implementation, evaluation and presentation will be evaluated.

This is not a general programming course; students are expected to be able to develop software on their own, and they should be familiar with a programming language suitable for computer vision development. Basic image processing and computer vision knowledge is expected. Experience in computer vision development is recommended, but not required. It is possible to propose your own CV project for this course