PORTLAND, Ore., Oct. 9, 2019 /PRNewswire/ -- SensiML™
Corporation, a leading developer of AI tools for building
intelligent IoT endpoints, today announced that its SensiML
Analytics Toolkit delivers quick and easy development of smart
sensors for real-time anomaly detection through intelligent IoT
endpoints. This approach addresses a broad spectrum of industrial
equipment, processes and industries. By simplifying the development
and implementation of anomaly detection devices, SensiML enables
companies to focus their scarce and valuable technical resources on
application specific functionality, not hand-coded ML and dataset
Anomaly detection works by regularly monitoring equipment
and constantly measuring key variables such as temperature,
vibration, sound, motion, flow, and other time-series sensor data.
AI-based analysis is used to establish "normal" and "outlier"
behavior. Detected anomalies can then be flagged for immediate
intervention or recorded for later analysis. Anomaly detection can
be part of a larger Condition Monitoring (CM) or Predictive
Maintenance (PdM) program for a company or can be used
independently in a more targeted way.
The SensiML Analytics Toolkit provides a fast and simple
way for industrial companies to implement anomaly detection for
their specific machines and processes. For example, using
SensiML-generated algorithms, technicians can transform traditional
sensors into customizable, machine-specific anomaly detectors
during initial machine installation or during a later retrofitting.
Some of the new functionality available through the use of these
"smart sensors" include:
- Baseline algorithms that can adapt with edge learning to
improve insight with use
- Triggered events that can optionally report feature vector
results or corresponding raw sensor data
- Simple closed-loop feedback that can involve operators in
system tuning as appropriate
"These are truly exciting times for industrial IoT innovation.
Ubiquitous sensors combined with today's highly efficient endpoint
processors and sophisticated AutoML tools like SensiML now make it
practical to instrument virtually all aspects of the smart factory.
Complex industrial processes can be now be characterized by their
many component subprocesses and analyzed using distributed
processing where it makes most sense," said Chris Rogers, CEO of SensiML. "Through the use
of anomaly detection with adaptive smart sensor hardware and our AI
Toolkit, developers of sensor modules can offer new innovative
solutions that efficiently monitor plant equipment, optimize
processes, and lower operating costs to improve the bottom
The SensiML Analytics Toolkit is
available now. For more information, visit
SensiML, a subsidiary of QuickLogic,
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.
View original content to download
SOURCE SensiML Corporation