24 / 84
Surveillance systems rely heavily
upon the capability provided
by embedded vision systems to
enable deployment across a wide
range of markets and applications.
These surveillance systems are
used for numerous applications
from event and traffic monitoring,
safety and security applications,
to ISR and business intelligence.
This diversity brings with it several
driving challenges which need to be
addressed by the system designers
in their solution. These are:
Multi Camera Vision – The
ability to interface with multiple
homogeneous or heterogeneous
sensor types.
Computer Vision Techniques -
The ability to develop using high
level libraries and frameworks
like OpenCV and OpenVX.
Machine Learning Techniques
- The ability to use frameworks
like Caffe to implement machine
learning inference engines.
Increasing Resolutions and
Frame rates – Increases the data
processing required for each
frame of the image.
Depending upon the application,
the surveillance systems will
implement algorithms such as
optical flow to detect motion within
the image. Stereo vision provides
depth perception within the image,
while machine learning techniques
are also used to detect and classify
objects within an image.
Heterogeneous System on Chip
devices like the All Programmable
Zynq®-7000 and the Zynq®
Ultrascale+™
MPSoC
are
reVISION: Accelerates your Surveillance Application
Nick Ni and Adam Taylor
increasingly being used for the
development
of
surveillance
applications.
These
devices
combine high performance ARM
®
cores to form a Processing System
(PS) with Programmable Logic (PL)
fabric.
This tight coupling of PL and
PS allows for the creation of a
system which is more responsive,
reconfigurable, and power efficient
when compared to a traditional
approach. Traditional CPU / GPU
based SoC approaches require
the use of system memory to
transfer images from one stage
of processing to the next. This
reduces determinism, increases
power dissipation and latency of
the system response, as multiple
resources will be accessing the
same memory creating a bottleneck
24 l New-Tech Magazine Europe