SmartEdgeML

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SmartEdgeML
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TDK SmartEdgeML brings the power of machine learning algorithms to motion sensors
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TDK SmartEdgeML brings the power of machine learning algorithms to motion sensors. Enable next-generation features such as activity and gesture recognition to smartwatches, hearable, wearables, and health monitors. Execute machine learning directly on tiny IMU sensor chips to offload tasks from on-device processors to the cloud.  

Key Capabilities of SmartEdgeML: 

  • Auto mode – Empowers developers to build a machine learning model in minutes
  • Ultra-low power – Run ML models on < 30 µA
  • Tiny size – Run ML models on TDK IMU chips as small as 2.5 x 3 mm
  • Easy visualization – Developer tool to view performance reports, utilization metrics, 3D feature data, configuration options 
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Run machine learning on sensors to enable advanced sensing behaviors
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Add device ML intelligence to an array of applications
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SmartEdgeML enables personalized experiences for a range of devices
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Smartphones and PCs
Description
  • Detect in-car vs. walking
  • Program new device behaviors based on difficult to sense conditions 
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Improve movement recognition as each device learns individual variations
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Wearables & hearables
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  • Reliably recognize and differentiate head, hand, and body gestures despite individual differences
  • Better differentiate between different activities and exercises 
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Deliver accurate gesture and activity monitoring to enable new use cases
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Health and fitness
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  • Improve sensing through adaptation to individual differences
  • Foster user confidence through accurate activity sensing 
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Use machine learning for superior accuracy of motion and activity detection
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Enable new use cases
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Train sensors to recognize human activities, motions, and gestures 

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Ensure data privacy
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Leverage highly personal user data without it ever leaving the sensor 

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Improve battery life
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Machine learning can execute on sensors while the rest of the devices is asleep 

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Make smarter devices with on-sensor machine learning
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TDK SmartEdgeML brings ML algorithms to sensors 
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By Anonymous (not verified) , 25 November 2025

Solutions integrating software with sensor hardware

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TDK sensor solutions for products that amaze
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Imagine the possibilities
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Accelerate development time
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TDK solutions are designed to enable device devlopers  to get to market more quickly. Pre-integrated and optimized software speeds use case implementation and reduces QA time.

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Create advanced device behaviors
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Easily configure new sensor-powered use cases using TDK software-driven solutions. Devices can perform actions on detection of sound or movement, which enables automatic wake up, muting, and other intuitive behaviors.

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Extend battery life
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Run software directly on the sensors for ultra-low power scenarios. Instead of requiring the entire device to be powered up all the time, wake on sound, movement, or presence can happen with only the sensor awake to preserve power to enable always on scenarios.

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Microphone Solutions for Expanding the Possibilities of Interactive Robots
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Getting started with TDK SmartMotion sensors
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 section descripiotn TDK sensing solutions combine powerful software and algorithms with advanced sensor hardware, empowering device creators to create new sensor-driven use cases that amaze users. TDK solutions reduce development complexity by providing purpose-built optimized algorithms, unified interfaces to multi-sensor systems, and on-chip software.

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SmartEdgeML