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Embedded vision AI applications are revolutionizing industries by enabling highly complex real-time video stream processing and decision-making at the edge. These applications range from autonomous driving to smart manufacturing, where rapid analysis of visual data is critical. These applications demand real-time processing, low latency, and low power consumption to effectively analyze and interpret visual data.
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With the development of technology, medical imaging, one of the major achievements of science and technology, has been used in a variety of applications in the field of non-invasive diagnosis and treatment. One such application is endoscopy, which became more widespread in the 1990s when it became possible to transmit images to a monitor using a charge-coupled device. To help doctors better identify and locate lesions, manufacturers have continued to increase the resolution of endoscopes, with the resolution of human medical endoscopes gradually evolving from 1080p to today’s 4K.
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A customer approached us with an idea to design a solution for monitoring the frequency spectrum of wireless telecommunication signals for systems security, i.e., to detect unwanted activity in the spectrum. The unwanted activity could occur at any frequency or time using any communication protocol. With today’s technology in mind, these requirements meant monitoring the frequency range of multiple GHz at a high resolution. Despite the challenging setup, this work was right up our alley.
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Plexim’s PLECS circuit simulator has established itself as the de facto standard for modeling and simulating complex electrical systems in academia and the industry. With the RT Boxes, power electronics engineers can easily convert offline models, designed using the PLECS circuit simulator, into online real-time simulations, complete with analog and digital I/Os.
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Germany-based MicroNova develops hardware-in-the-loop (HiL) test systems for electronic control units (ECUs) under the NovaCarts brand. These test systems accelerate the testing and validation of up to 100 ECUs that control modern luxury vehicles by creating a virtual replica of the vehicle and its environment.
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The Leica CityMapper-2
generates 3D maps of cities in one run. Mounted on a plain, six 150 MP
cameras and a LiDAR synchronized with the lowest possible jitter take an
image every 0.9 seconds. The sytem is build around the Enclustra
Mercury+ XU8 SOM and the FPGA Manager PCIe IP Solution.
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Enclustra implemented the complete real-time signal processing path for
a spectrum analyzer. The project includes elaborate filtering,
down-conversion, fourier-transform and analysis of important properties
of the resulting signal. As an additional feature, signals can be
demodulated in real-time.
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Artificial Neural Networks and Machine Learning in the form of Deep
Learning have proven to be able to solve complex computer vision
problems efficiently. This includes image classification, object
detection, segmentation and many other applications.
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The modular approach taken by Enclustra in its FPGA and SoC modules
demonstrated its advantages two-fold in a customer project –
firstly, through an extremely short development time, and secondly,
through the development of an application-specific base board that can
also be used by the customer in future projects.
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Test and measurement systems usually need to store a large number of
measured values with high bandwidth and without interruptions. Thanks to
the use of a standard SOM and Linux, a data logger using Ext4 as file
system with 800 Mbyte/sec bandwidth could be implemented within a very
short time.
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A potential customer got in contact with us because they had developed
an FPGA design, which was already productive in their system, but was
lacking proper documentation and test infrastructure. As a part of their
plan to make their system's key components fit for the future, they
decided to hire us to take care of the FPGA part.
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The official term is unmanned aerial vehicle (UAV), apparently, which is
a bit of a mouthful, so we prefer to say drone. In any case, we
developed a controller for a UAV (drone) for a customer using a AMD
Zynq™ UltraScale+™ SoC, whose CPUs implement the position control as well
as tracking of the flight trajectory.
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The AMD Spartan™ 6 based RF source provides multiple DDS channels for
modulating the frequency, phase and amplitude of laser light used in the
experiments.
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We were asked to migrate the SPI slave interfaces of an existing FPGA
design to PCIe interfaces providing massively more bandwidth, while
maintaining the FPGA-internal Wishbone communication infrastructure and
as much as possible of the embedded software controlling the SPI
masters.
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A reliable data connection between satellite and ground station is
essential to the success of any successful satellite mission - to this
end, we recently implemented a system for a customer based on our
Mercury KX1 module and using
FPGA Manager PCI Express. more
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We recently developed an FPGA-based 10/100/1000BASE-FX Ethernet PHY for
one of our customers, as part of a fibre optic Ethernet link.
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What do you do when a chip you're using is discontinued and you don't
want to change your PCB layout? This tricky question is one that one of
our customers came to us with, for a keypad encoder system.
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For a measurement device producer, we developed an extremely flexible
signal generator during a previous project. After seeing the power and
possibilities offered by FPGA technology, the customer came to us with
further ideas to make the generator even more adaptable. more
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What was once only possible in crime series will soon be reality (get
your CSI Miami one-liners at the ready): 3D scans of forensic evidence
found at crime scenes, recording minute details to be later analysed
from all angles. more
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The task was to develop a video frame buffer which simultaneously
acquires pictures from five cameras and stores them in the memory of an
ARM Cortex-A9 processor. more
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