Toolkit detects analomies in industrial applications
Customisable smart sensor technology simplifies the implementation of artificial intelligence (AI) for industrial IoT, says SensiML.
The subsidiary of QuickLogic has devices the SensiML Analytics Toolkit for the quick and easy development of smart sensors for real-time anomaly detection through intelligent IoT endpoints.
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” behaviour. When anomalies are detected they can 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) programme for a company or can be used independently in a more targeted way, explains SensiML.
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 optimisations.
Functionality available through the use of 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 and simple closed-loop feedback that can involve operators in system tuning as appropriate.
“These are truly exciting times for industrial IoT innovation,” said Chris Rogers, CEO of SensiML. “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 sub processes and analysed using distributed processing where it makes most sense,” he added. Developers can use anomaly detection with adaptive smart sensor hardware and the company’s toolkit to develop sensor modules for monitoring plant equipment, optimise processes and lower operating costs, said the company.
The SensiML Analytics Toolkit is available now.
