SmartEdgeML: Run Machine Learning on 6-axis motion sensors
TDK’s SmartEdgeML is an advanced solution that leverages the combined power of TDK’s SmartMotion sensors and machine learning to create a new paradigm of Edge ML, which enables next-generation applications for smartwatches, hearables, health monitors and more.
TDK’s SmartEdgeML solution allows developers to implement ML algorithms on a small IMU sensor chip, offloading tasks from the Edge processors, thereby reducing the amount of data going to the Edge processor. This significantly improves battery life, data privacy, and Edge processor computation resources.
TDK’s SmartEdgeML is a complete solution that comprises of a combination of hardware and software to enable a comprehensive Sensor + ML experience for the user in different phases of development.
How does it work?
Get the SmartBug 2.0 multi-sensor wireless hardware. It contains the ICM-45686-S IMU
Collect data from SmartBug 2.0 wirelessly and input it into the SIF tool.
Train Phase: SIF will build an optimized ML model (algorithm) based on the input training data, features and parameters.
Run/Test Phase: Run the model on the ICM-45686-S IMU. Test the algorithm with SmartBug 2.0.
If the evaluation is satisfactory, use the SIF Integration guide to run the ML-based algorithm on the chip on your system.
Unique capabilities
Auto Mode: Allows a beginner to build a ML model in 2 minutes. All you have to do is collect data and the SIF tool will take care of the rest.
Ultra-low power: Build ML models at < 30 µA.
Optimized: Run ML models on an IMU chip as small as 2.5 x 3 mm.
Easy Visualization: View performance reports, chip utilization metrics, 3D feature data/classes, filter configurations etc.
Benefits
Sensor Users: Traditionally sensor on-chip SW was fixed and offered less flexibility to implement new features on sensors. SmartEdgeML enables the following:
Customization: User can define their own use-case and build an algorithm with SmartEdgeML in less than 2 minutes (with AUTO mode). User can also define their custom sensor settings, filters, features as inputs to the ML model.
Ownership: User can own the data and test the ML model with their own dataset rather than depending on the sensor vendor.
Time to market: SmartEdgeML provides both the hardware and the framework with an evaluation system such as SmartBug 2.0, to build, test, tune, and evaluate ML models quickly. This removes dependency on the support needed from the sensor vendor to build and tune sensor algorithms. In addition, there are ready examples in SIF that allow a user to quickly understand and evaluate a ML solution.
Better battery life: With SmartEdgeML, a user can now find out directly from an IMU sensor whether he is sitting, standing, walking, or running. He can further find out if he was doing a bicep curl or a deadlift. This allows the Edge devices to sleep longer and process only smart data coming from the sensors, reducing battery drainage and MIPS cycles.
Traditional Sensor SoftwareLimited to fixed use-cases● Wake on motion ● Freefall detection ● Tap detections ● Bring to see ● Sensor fusionCustomization is expensiveTime to market is HIGHNo ownershipHigh false positivesMachine LearningCan be trained for any use-case● Slice vs. shake detection ● In-car vs. walk monitoring ● Head yes vs. no ● Washing hands or not ● Condition-based monitoringCustomize EasilyLow time to support/marketUsers own the dataLow false positives/power
Cloud MLSystem Power SavingsProcessing SpeedLeverage the cloud for computeFull-Power AIEdge MLML at the deviceML Enabled SoCSmartEdgeML™ML at the sensorSmart Sensors
Applications
Wearables
Hearables
Laptops/Phones
Appliances
Run vs walk vs Sit vs Stand vs in-car
Shake Wrist vs Flick vs Slice vs Turn
Jumping Jacks vs Bicep Curl vs Knees
Head movement – Nodding Yes or No or Nothing
In pocket vs out of pocket
Coffee maker – Coffee tank empty or not
Purchase & Download
SmartBug 2.0
All-in-One Wireless Sensor Module for Your IoT Applications
ICM-45686-S IMU
Ultra High-Performance 6‑Axis MEMS Motion Sensor
Sensor Inference Framework
Comprehensive software that enables users to collect IMU sensor data, select custom features, build ML models, test performance, deploy, and run those models.
SmartBug 2.0
All-in-One Wireless Sensor Module for Your IoT Applications
ICM-45686-S IMU
Ultra High-Performance 6‑Axis MEMS Motion Sensor
Sensor Inference Framework
Comprehensive software that enables users to collect IMU sensor data, select custom features, build ML models, test performance, deploy, and run those models.
