- Monitors equipment health and issues maintenance
requests
- Increases factory productivity and reduces downtime for
major manufacturer
- Implements local AI for low cost, fast reaction times, and
high data security
PORTLAND, Ore., July 20,
2022 /PRNewswire/ -- SensiML™ Corporation, a leading
developer of AI tools for building intelligent Internet
of Things (IoT) endpoints, today announced that its customer,
aiSensing, has successfully completed and deployed an endpoint
AI-based vibration sensor for a large multi-national manufacturer
in Asia. This intelligent endpoint
monitors vibration patterns for multiple machines, detects
potential anomalies, and issues maintenance requests when
necessary. The result is reduced equipment downtime and higher
overall factory productivity. Since the AI implementation is local,
rather than cloud-based, the system features low cost, low latency
and fast reaction times while simultaneously providing higher data
security.
aiSensing's customer is one of the largest and most successful
manufacturing companies in Taiwan.
It is the leading manufacturer of specialty adhesives, footwear
adhesives, hot-melt adhesives, and liquid and powder coatings. The
company has adopted this Edge AI-based approach to detect anomalies
for vacuum pumps and chilling machines used in its manufacturing
flow, including problems related to lack of lubrication, water
leakage, bearing failures, and belt failures. By identifying
potential problems before they arise, maintenance issues can be
addressed in a managed way rather than as ad hoc emergency
situations. This type of predictive maintenance is a key component
of modern smart manufacturing initiatives.
The AI-based endpoint was developed on a QuickLogic EOS S3
ultra-low power multi-core Arm Cortex® MCU-based SoC, which
delivered more than enough processing bandwidth for the application
at a low cost. The AI application running on the QuickLogic device
was built using the SensiML Analytics Toolkit, which provided a
complete solution for the quick development of this sophisticated
IoT endpoint.
"Smart manufacturing is a significant trend across a broad range
of industries," said Chris Rogers,
chief executive officer at SensiML. "Predictive maintenance is one
of the core initiatives in that trend, and aiSensing's vibration
sensor is a great example of how to effectively use AI to implement
a practical and cost-effective predictive maintenance
solution."
"Our endpoint AI-based vibration sensor has been very
successful," said Dennis Chu, chief
technology officer at aiSensing. "Its low power consumption, fast
response times, and low cost are the ideal combination of features
for this predictive maintenance application. With the SensiML
tools, we can easily modify the design to address new and unique
requirements for our customers."
The SensiML Analytics Toolkit, QuickLogic EOS S3 SoC, and
aiSensing's endpoint AI vibration sensor are each available
now.
For more information on the SensiML tools, visit the SensiML
website at: https://sensiML.com/products. More information on
QuickLogic's EOS S3 SoC is available at
https://www.quicklogic.com/products/soc. For more information on
the aiSensing vibration sensor, visit:
https://www.youtube.com/watch?v=z7TPI7i2vn4.
About SensiML
SensiML, a subsidiary of QuickLogic
(NASDAQ: QUIK), offers cutting-edge software that enables ultra-low
power IoT endpoints that implement AI to transform raw sensor data
into meaningful insight at the device itself. The company's
flagship solution, the SensiML Analytics Toolkit, provides an
end-to-end development platform spanning data collection, labeling,
algorithm and firmware auto generation, and testing. The SensiML
Toolkit supports Arm® Cortex®-M class and higher microcontroller
cores, Intel® x86 instruction set processors, and
heterogeneous core QuickLogic SoCs and QuickAI platforms
with FPGA optimizations. For more information,
visit www.sensiml.com.
SensiML and logo are trademarks of SensiML. All other
trademarks are the property of their respective holders and should
be treated as such.
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SOURCE SensiML Corporation