Deep Vision
While technological progress is scaling unprecedented heights, simultaneously it is also increasing the knowledge gap between users and developers. However, it is of great importance for the users to have an understanding of the workings of the technological world, in order to constructively participate in and contribute to the ongoing discourse concerning the ethical and social consequences of the use of machines.
The work «Deep Vision» examines machine vision and its translation into visualisations, the interface between artificial perception and human perception. The laser scanner is representative of the optical organ of modern machines, such as the self-driving car. This complex sensor sends thousands of light pulses into its environment within a matter of seconds, creating a cloud of measurement points. Through the use of efficient algorithms and machine learning, the system extracts important information from the data that becomes crucial later for its decision-making. In «Deep Vision», this raw data is made visible to the viewer to enable an understanding of this artificial sensory organ.
The viewer becomes part of the process by being automatically captured by the installation and integrated into the exhibition. What otherwise happens within milliseconds in digital circuits remains on a digital canvas to be viewed. With this work, the audience is given the opportunity to not only understand the inner workings of the machine but also to reflect upon the constantly evolving interdependence between the user and their machines.
Alumni: Florian Bruggisser
Master-Thesis 2019
Mentors: Björn Franke & Max Rheiner
Partner: Leica Geosystems AG
