  One of the beyond-5G developments that is often highlighted is the
integration of wireless communication and radio sensing. This paper addresses
the potential of communication-sensing integration of Large Intelligent
Surfaces (LIS) in an exemplary Industry 4.0 scenario. Besides the potential for
high throughput and efficient multiplexing of wireless links, an LIS can offer
a high-resolution rendering of the propagation environment. This is because, in
an indoor setting, it can be placed in proximity to the sensed phenomena, while
the high resolution is offered by densely spaced tiny antennas deployed over a
large area. By treating an LIS as a radio image of the environment, we develop
sensing techniques that leverage the usage of computer vision combined with
machine learning. We test these methods for a scenario where we need to detect
whether an industrial robot deviates from a predefined route. The results show
that the LIS-based sensing offers high precision and has a high application
potential in indoor industrial environments.
