Tech Briefs Magazine - June 2022 - Sensor-11

TECHNOLOGY LEADERS Topic
O
Sensors
Occupancy Monitoring Pre-Packaged
ccupancy monitoring
plays a key role
in building automation,
health, safety,
and security. Although developers
can piece together suitable
people-counting solutions
from available com -
ponents and develop the appropriate
algorithms, this can
be time consuming and costly.
Amid heightened expectations
for faster delivery of
solutions with more sophisticated
and up-to-date capabilities
and features, including
support for social distancing
requirements, a simpler, faster
approach is required.
ISSI FLASH MEMORY
(IS25LP512M-JLLE)
SPI
2D CAMERA
(BASED ON
ON SEMICONDUCTOR
ASX340AT3C00XPED0-DPBR)
Micron Technology Inc
LPDDR
1GB
MT46H64M16LFBF-5 IT:B
PPI
DDR
INTERFACE
Figure 1. In Analog Devices' EagleEye trial kit, a DSP subsystem acquires and processes images using the ADSW4000 EagleEye
PeopleCount algorithm running on a member of Analog Devices' ADSP-BF707 Blackfin DSP series. (Image: Analog Devices)
Why Occupancy Monitoring Matters
The ability to monitor the number
of individuals, their location, and their
movement within a building is finding
an expanding role in multiple applications.
During pandemic surges, this
capability helps ensure that occupants
can maintain safe separation in indoor
spaces.
Beyond optimizing use of building
spaces and aiding social distancing, however,
an active measure of occupancy has
become essential to throttle escalating
energy consumption. According to the
World Green Building Council, energy
used to light, heat, and cool buildings
Metadata Output
Packet Number
Occupancy State
Light State
People Court
Zone Occupancy State
Zone Light State
Zone Lux Level
People ID with Properties
People ID with Properties
Telemetry Data
Definition
Number of packets since the initial boot of the sensor
Flag: shows room occupied (1) or not occupied (0)
Flag: shows light control output state on (1) or off (0)
Number of people detected in the ROI
Flag: shows zone occupied (1) or not occupied (0)
Flag: shows zone light control output state on (1) or off (0)
Shows the estimated lux level of the specific zone (in lux)
Number of people detected in the specific zone
X and y coordinates for each person detected in the ROI
Debug and reserved data
Table 1: Analog Devices' EagleEye algorithm maintains users' privacy by not transmitting personally identifiable
information, but instead generating a package that includes the metadata listed here. (Image: Analog Devices)
Sensor Technology, June 2022
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accounts for 28% of worldwide carbon
emissions.
Globally, national strategies to reduce
climate-affecting carbon emissions target
more efficient building energy utilization
as central to the planning. For
individual companies, reduced energy
consumption offers direct benefits to
their bottom line, as well as their employees'
well-being.
Implementing an Occupancy Sensing
Solution
The design and implementation of an
automated occupancy sensing solution
requires expertise in multiple areas in
order to combine sensors, low-power
processors, and connectivity with accurate
people-counting algorithms into full
applications, able to respond instantly as
people enter and leave indoor spaces.
This takes time and resources to develop
and support. Analog Devices offers a
pre-packaged solution: the ADSW4000
EagleEye, a complete 2D vision sensor-based,
low-power, low-bandwidth
drop-in platform designed specifically to
provide updated data to optimize space
utilization and minimize energy consumption.
The kit comprises the Analog
Devices' proprietary People-Count algorithm
running on a member of Analog
Device's ADSP-BF707 series of Blackfin
digital signal processors (DSPs). The EagleEye
delivers utilization data for separate
indoor spaces, allowing companies
to balance office space utilization and
energy consumption for maximum utility.
Because
it performs its image analysis
and people-counting tasks solely on
the Blackfin processor, the EagleEye algorithm
ensures that all images remain
local, so no personally identifiable information
ever leaves the platform, conforming
with a growing body of worldwide
privacy regulations. In fact, results
generated by the Blackfin processor are
limited to a data package containing the
number of people in a monitored region
of interest (ROI), their (x, y) location in
that region, and whether or not they are
on the move.
To help speed development of
11
ADSPBF707BBCZ4-EGE
POWER MANAGEMENT
UART
ADI EagleEyeTM
FRAMEWORK
ADI EagleEyeTM
DSP SUBSYSTEM
ADI EagleEyeTM
PeopleCount
APPLICATION
ADSW4000
JSON
METADATA
PACKET
ST Tech Leaders DigiKey Feature 0622_1.indd 11
Cov
ToC
5/18/22 5:41 PM
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Tech Briefs Magazine - June 2022

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