STMicroelectronics and Schneider Electric Reveal Advanced People-Counting Solution using Artificial Intelligence on STM32 Mic...
November 16 2020 - 10:00AM
STMicroelectronics and Schneider Electric
Reveal Advanced People-Counting Solution using Artificial
Intelligence on STM32 Microcontroller
Artificial Intelligence at the very edge enables
digital attendance monitoring for smart buildings
Geneva, November 16, 2020 – STMicroelectronics (NYSE:
STM), a global semiconductor leader serving customers
across the spectrum of electronics applications, and
Schneider Electric, the leader in the digital
transformation of energy management and automation, are
demonstrating a prototype IoT sensor that enables new
building-management services and efficiency gains by understanding
building-occupancy levels and usage.
The two companies have collaborated to integrate Artificial
Intelligence (AI) into a high-performance people-counting sensor,
which overcomes the challenge of monitoring attendance in large
spaces with multiple entrance points. Schneider Electric will
demonstrate this IoT sensor as a guest at ST Live Days, during the
IoT&5G session on November 19, 2020.
With the digitization of building occupancy, Schneider is
following its mission to be its customers’ digital partner for
sustainability and efficiency by delivering new and highly valuable
insights such as queue monitoring to assist smart building
management while respecting individuals’ privacy by design. The
advanced IoT sensor has been developed by combining the high
expertise of ST’s AI group and the deep sensor-application
expertise of Schneider Electric to identify and embed a
high-performing object-detection neural network in a small
microcontroller (MCU).
Schneider Electric’s increase in design productivity comes from
its use of the STM32Cube.AI toolchain, which has mature
capabilities for developing AI applications for the broad portfolio
of STM32 MCUs. This allowed Schneider Electric to gain valuable
flexibility and efficiency in hardware design from the engineering
resources, sophistication, and ease of use provided by the
STM32Cube software-development ecosystem.
The prototype people-counting sensor combines a LYNRED
ThermEyeTM family thermal imager, integrated in a unique
ultra-low-power design created by Schneider Electric, with a
Yolo-based Neural Network model running on the recently introduced
high-performance STM32H723 MCU from ST. “This promising technology
opens a new solution for attendance monitoring and people counting
in numerous applications such as monitoring queues, building usage,
and social distancing,” said Maxime Loidreau, IoT Sensors Program
Manager at Schneider Electric. “Our innovative demonstration,
created with STMicroelectronics, finds applications in various
segments, from hotels to offices and retail, and more generally any
building where knowing attendance and space occupation has a value.
This will redefine the building of the future!”
“This project demonstrates the power of deep learning to enhance
embedded data-processing performance, showing how high-value
applications can be hosted on a cost-effective
microcontroller-based platform,” added Miguel Castro, AI Solutions
Business Line Manager at STMicroelectronics. “Our STM32Cube.AI
ecosystem empowers users to create flexible solutions within a fast
time-to-market window. Customers can enjoy even greater
productivity leveraging the support of our technical team to
overcome engineering challenges.”
Further Technical InformationThe STM32 AI
ecosystem provides essential building blocks for neural networks to
run on STM32 MCUs, enabling a cost-effective and power-efficient
solution. Various deep-learning frameworks such as Keras,
TensorFlow™ Lite, and ONNX exchange format are supported
natively.
Included in the ecosystem is the X-CUBE-AI software expansion
package, which extends the capabilities of the STM32CubeMX
initialization tool to automatically convert pre-trained neural
networks, generate optimized libraries for the target MCU, and
integrate these into the user's project. Additional support to
automate laborious development tasks includes several ways of
validating neural network models and measuring performance on STM32
MCUs without creating the necessary C code by hand.
The general DNN approach supported by ST’s software-development
ecosystem, mapped onto the rich STM32 portfolio, lets users
efficiently replicate development effort to create products for
multiple markets. The STM32H723 MCU powering the demonstration at
ST Live Days has excellent credentials for hosting AI applications,
including high core performance, up to 1Mbyte Flash, high-speed
off-chip memory interfaces, and integrated features for connecting
a wide variety of sensor types.
For more information on STM32Cube.AI please go to
www.st.com/STM32CubeAI To see how you can run edge AI applications
on STM32 microcontrollers and application processors contact us at
edge.ai@st.com For more information on STM32H7 MCUs please go to
https://www.st.com/en/microcontrollers-microprocessors/stm32h7-series.html
About STMicroelectronicsAt ST, we are 46,000
creators and makers of semiconductor technologies mastering the
semiconductor supply chain with state-of-the-art manufacturing
facilities. An independent device manufacturer, we work with our
100,000 customers and thousands of partners to design and build
products, solutions, and ecosystems that address their challenges
and opportunities, and the need to support a more sustainable
world. Our technologies enable smarter mobility, more efficient
power and energy management, and the wide-scale deployment of the
Internet of Things and 5G technology. Further information can be
found at www.st.com.
For Press Information Contact: Michael
Markowitz Director Technical Media Relations STMicroelectronics
Tel: +1 781 591 0354 Email: michael.markowitz@st.com
- T4299S -- Nov 16 2020 -- ST Schneider AI people-counting
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- T4299S -- Nov 16 2020 -- ST Schneider AI people-counting
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