  Reconfigurable intelligent surfaces have emerged as a technology with the
potential to enhance wireless communication performance for 5G and beyond.
However, the technology comes with challenges in areas such as complexity,
power consumption, and cost. This paper demonstrates a computer vision-based
reconfigurable intelligent surface beamforming algorithm that addresses
complexity and cost issues and analyzes the multipath components that arise
from the insertion of such a device into the wireless channel. The results show
that a reconfigurable intelligent surface can provide an additional multipath
component. The power of this additional path can be critical in blockage
scenarios, and a capacity increase can be perceived in both line-of-sight and
non line-of-sight scenarios.
