Development of a Smart Camera Application to Support Manual Manufacturing

Smart cameras automatically collect information from images using computer vision algorithms. Actions and decisions can be triggered using this information. Together with industrial partners, we are researching smart camera applications in the field of manual manufacturing. Using the cameras, manufacturing states can automatically be determined and workers can be supported with information about realized, missed or upcoming tasks. Further, they can be alarmed if mistakes happen. In our research, we are focused on the application scenarios of such smart cameras, rather than the development of new computer vision approaches.

Smart cameras automatically collect information from images using computer vision algorithms. Actions and decisions can be triggered using this information.
Together with industrial partners, we are researching smart camera applications in the field of manual manufacturing. Using the cameras, manufacturing states can automatically be determined and workers can be supported with information about realized, missed or upcoming tasks. Further, they can be alarmed if mistakes happen. In our research, we are focused on the application scenarios of such smart cameras, rather than the development of new computer vision approaches.

Task of the project is the development of a smart camera application for quality assurance together with an industrial partner. The application is to be tested at a manufacturing site eventually. Base for the project will be already developed prototypes and realized projects. During the development, the application setup scenario should be analyzed in depth: Who can realise the setup process for further applications? How can this process be standardised and simplified Is there an option for automation of certain tasks?

Task of the project is the development of a smart camera application for quality assurance together with an industrial partner. The application is to be tested at a manufacturing site eventually. Base for the project will be already developed prototypes and realized projects.
During the development, the application setup scenario should be analyzed in depth:
Who can realise the setup process for further applications?
How can this process be standardised and simplified
Is there an option for automation of certain tasks?

You are highly interested in developing computer vision applications
Desired are interest and skills in programming (Python, is preferred)
Experience with deep learning and the training of neural networks such as YOLO, MobileNet etc. will help
You are able to work independently and are eager to interact with an industrial partner
You approach problems systematically and manage your projects methodically
You are a team player, curious and come up with innovative ideas
Willingness to integrate into a professional work environment

We focus on human-centred product development and regard the link between research and education as the key to excellence in training. We see ourselves as a partner for industry and promote the continuous transfer of knowledge through cooperation, as well as the training and further education of students and graduates to strengthen the competitiveness of mechanical engineering industry.

We focus on human-centred product development and regard the link between research and education as the key to excellence in training. We see ourselves as a partner for industry and promote the continuous transfer of knowledge through cooperation, as well as the training and further education of students and graduates to strengthen the competitiveness of mechanical engineering industry.

Master thesis.
Earliest start:January 2021

Jonas Conrad LEE O 219 conradj@ethz.ch Tel.: +41 (0)44 632 36 02 pdz.ethz.ch

Jonas Conrad
LEE O 219
conradj@ethz.ch
Tel.: +41 (0)44 632 36 02
pdz.ethz.ch