SUNNYVALE, Calif., June 17, 2019 /PRNewswire/ -- QuickLogic
Corporation (NASDAQ: QUIK), a developer of ultra-low power
multi-core voice-enabled SoCs, embedded FPGA IP, and Endpoint AI
solutions, today announced that Infineon has selected its EOS™ S3
Voice and Sensor Processing Platform to enable a new ultra-low
power Integrated Alarm System (IAS) reference design utilizing the
Infineon XENSIV™ MEMS Microphone and Digital Barometric pressure
sensor.
This design takes advantage of QuickLogic's integrated Low Power
Sound Detection (LPSD) block, Sensor Manager and Flexible Fusion
Engine (FFE) on the EOS S3 to significantly reduce the computation
power consumption by a factor of ten. These blocks enable the ARM
M4-F core in EOS S3 to be asleep for the majority of the time, only
running Infineon's own sensor fusion based glass break algorithm
when significant events occur. The Infineon cutting edge sensor
fusion software synchronizes the information from the microphone
and pressure sensor to optimize the system's performance and reduce
false alarms. Existing glass break alarm systems on the market can
react to numerous sounds, pets or movie background noises for
example. With the Infineon patent pending concept of combining
audio with pressure information, Infineon's Alarm System only acts
when a real event is detected, significantly reducing the number of
false alarm calls.
The IAS reference design is targeted to customers in the home IoT
space. The design can be integrated with a stand-alone product, or
added to an existing home, commercial and industrial products such
as light sockets, smoke detectors, motion sensors, and cameras to
enable event detection such as an intruder breaking a window. A
variety of well-known consumer product developers are currently
adopting or investigating the IAS reference design solution for
integration into their products.
"Infineon's reference design represents an excellent use case
for the EOS S3 Voice and Sensor Processing Platform," said
Scott Haylock, director of product
management at QuickLogic Corporation. "Through the use of our
platform's integrated features such as LPSD and FFE, they are able
to deliver a very sophisticated solution at the ultra-low levels of
power consumption required by IoT battery-powered
applications."
About EOS S3 Sensor Processing Platform
The EOS S3
Voice and Sensor Processing Platform is an ultra-low power SoC that
combines always-on/always listening voice processing with fast,
efficient and sophisticated sensor processing capabilities. It
includes a proprietary, patent-pending uDSP-like Flexible Fusion
Engine (FFE) that handles the bulk of the sensor algorithm
processing, which minimizes the processing load for the floating
point MCU. The multi-core design of EOS S3 enables it to be used as
a host processor as well as a companion co-processor. Power
consumption in the always-listening mode is minimized by its
hardware integrated Low Power Sound Detector (LPSD).
System-level power consumption is further optimized by the
EOS S3's dynamic power management technology.
Availability
The Infineon Integrated Alarm System
(IAT) security IoT reference design is available now. For more
information, visit http://www.infineon.com/alarmsystem. The
EOS S3 platform is available now from QuickLogic Corporation.
For more information, please visit
https://www.quicklogic.com/products/eos-s3
About QuickLogic
QuickLogic Corporation (NASDAQ: QUIK)
is a fabless semiconductor company that develops low power,
multi-core semiconductor platforms and Intellectual Property (IP)
for Artificial Intelligence (AI), voice and sensor processing. The
solutions include embedded FPGA IP (eFPGA) for hardware
acceleration and pre-processing, and heterogeneous multi-core SoCs
that integrate eFPGA with other processors and peripherals. The
Analytics Toolkit from our recently acquired wholly-owned
subsidiary, SensiML Corporation, completes the 'full stack'
end-to-end solution with accurate sensor algorithms using AI
technology. The full range of platforms, software tools and eFPGA
IP enables the practical and efficient adoption of AI, voice and
sensor processing across mobile, wearable, hearable, consumer,
industrial, edge and endpoint IoT. For more information, visit
www.quicklogic.com and https://www.quicklogic.com/blog/.
QuickLogic and logo are registered trademarks and EOS is a
trademark of QuickLogic. All other trademarks are the property of
their respective holders and should be treated as such.
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SOURCE QuickLogic Corporation