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SensiML Analytics Toolkit Delivers Quick and Easy Anomaly Detection for Industrial ApplicationsPORTLAND, 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 manipulation. 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 ensiML 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:
"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 line." Availability About SensiML 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 multimedia:http://www.prnewswire.com/news-releases/sensiml-analytics-toolkit-delivers-quick-and-easy-anomaly-detection-for-industrial-applications-300934516.html SOURCE SensiML Corporation |