SensiML integrates TensorFlow Lite for Microcontrollers
The SensiML Analytics Toolkit suite automates each step of the process for creating optimized AI IoT sensor recognition code while TensorFlow Lite for Microcontrollers is a port of Google’s popular open-source TensorFlow machine learning framework tailored to the unique power, compute, and memory limitations of extreme IoT edge nodes. Now, says the company, developers working with TensorFlow Lite for Microcontrollers open source neural network inference engine have the option to leverage SensiML’s automated data labeling and preprocessing capabilities to reduce dataset errors, build more efficient edge models, and do so more quickly.
Following the standardized workflow within the SensiML model building pipeline, developers can collect and label data using the SensiML Data Capture Lab, create data pre-processing and feature engineering pipelines using the SensiML Analytics Studio, and perform classification using TensorFlow Lite for Microcontrollers. The net result, says the company, is a state-of-the-art toolkit for developing smart sensor algorithms capable of running on low-power IoT endpoint devices.
“TensorFlow Lite for Microcontrollers is an industry-leading framework for running neural network models on embedded devices,” says Chris Rogers, chief executive officer of SensiML. “SensiML’s end-to-end workflow automates the tedious and error-prone data cleansing and labeling process as well as preprocessing and feature extraction providing a powerful new capability for TensorFlow Lite for Microcontrollers users to improve performance and productivity for their edge AI projects.”
Pete Warden technical lead of Google’s TensorFlow Mobile Team adds, “Without high-quality datasets, it is difficult to train models that can perform reliably in production. We talk a lot about how critical datasets are to building sensor-based edge AI applications, but currently don’t have a good solution for creating them. SensiML’s Data Capture Lab fills this gap in the industry by providing tools to quickly collect and annotate high-quality sensor datasets.”
The SensiML Analytics Toolkit with support for TensorFlow Lite for Microcontrollers is available now.
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