Tech Briefs Magazine - June 2022 - Sensor-12

TECHNOLOGY LEADERS Sensors
a separate subsystem based on Analog
Devices' ADuCM4050 microcontroller
unit (MCU) to handle connectivity and
higher-level application functionality
(Figure 1).
For image acquisition from the region
of interest, the subsystem uses a
2D vision sensing module based upon
ON Semiconductor's ASX340AT3C00XPED0-DPBR
VGA-format CMOS active
pixel digital image system-on-chip (SoC)
sensor combined with an infrared filter.
Working with Analog Devices' EagleEye
framework services, the EagleEye
PeopleCount ADSW4000 algorithm runs
on the ADSP-BF707 Blackfin DSP using
ISSI's IS25LP512M 512-megabit serial
flash memory and Micron Technology's
MT46H64M16LF 1-gigabit low-power
double data rate (DDR) synchronous
dynamic random-access memory
(SDRAM).
In this subsystem, the ADSP-BF707
Blackfin DSP is well suited for hanFigure
2. Analog Devices' EagleEye PeopleCount app allows easy confirmation of the sensor unit placement prior
to commissioning. (Image: Analog Devices)
plications, Analog Devices integrates
its ADSW4000 EagleEye People-Count
platform in its EVAL-ADSW4000KTZ
EagleEye trial kit. Serving as a complete
sensor-to-cloud turnkey implementation
of its EagleEye algorithm, the trial kit
enables users to immediately deploy occupancy
monitoring using the available
app and cloud-based online dashboard.
Alternatively, the kit can serve as the
foundation of custom systems, allowing
developers to focus on their higher-level
applications rather than the details of
implementing their own people-counting
methods.
Individual Subsystems
The trial kit comprises a pair of subsystems,
one based on the Blackfin DSP
to generate people- counting data, and
dling the complex image acquisition
and processing tasks required for people-counting.
Its signal processing pipeline
includes multiple hardware multiply-accumulate
(MAC) units along with
single instruction, multiple-data (SIMD)
capabilities.
The system achieves up to a 90% accurate
count within the target area - and
just as important, it returns the results
quickly.
Latency is similarly low for generated
people-count and location data. The alFigure
3. During commissioning, users employ the companion app to identify areas that the EagleEye PeopleCount algorithm should examine (left) or ignore (right). (Image:
Analog Devices)
12
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Sensor Technology, June 2022
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Tech Briefs Magazine - June 2022

Table of Contents for the Digital Edition of Tech Briefs Magazine - June 2022

Tech Briefs Magazine - June 2022 - Intro
Tech Briefs Magazine - June 2022 - Sponsor
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Tech Briefs Magazine - June 2022 - Cov1
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Tech Briefs Magazine - June 2022 - Sensor-Cov1
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