Smarter wearables

With Edge Impulse, developers are shipping modern wearables that can observe and analyze the human body and its surroundings, to deliver new experiences from untapped product data.

Add value to wearable products

Better interfaces

Enable richer end-user interaction by leveraging sensor and audio data to develop better user interfaces.

More user-privacy

Protect sensitive user data by collecting, processing and providing real-time insights directly on-device.

Improve battery life

Reduce power budget by running efficient algorithms on-device without having to send data to the cloud for further analysis.

Wearables use cases

Wake word detection

Always-on wake word detection for simple headset commands such as “on,” “off,” “play,” and “stop.”

Volume control using head tilt

Detect head movement through accelerometer and gyroscope sensors to perform actions such as controlling headset volume.

Gesture control

Use motion, radar and capacitive touch sensors to accurately classify human gestures and enhance the user experience.

ML-powered coaching

Provide real-time feedback via sensors or images for exercise classification, form improvement and more to prevent user injury and improve their skill levels.

Performance analysis

Analyze athlete performance using heart rate, blood oxygen concentration and movement to provide accurate feedback on calories burned and other fitness metrics.

Acoustic event detection

Reliably detect ambient sounds of interest such as a baby crying, fire alarms, and glass breaking, even in noisy environments.

Don’t see a use case that fits? Our team of experts can help you develop a custom solution. Contact us.

Accelerate solution development

Expert support

We are the leaders in embedded ML, with track records of working with top enterprises developing solutions across the wearables, industrial and consumer spaces.

Less engineering time

Speed up development timelines with the best-in-class embedded ML platform, designed to help you create production-grade software in less than six months.

Open source, royalty-free

All Edge Impulse developed algorithms are licensed under Apache 2.0, without royalties. This means that you completely own your algorithms, and no royalties exist when it comes to deploying them.

Flexible deployment

Models developed in Edge Impulse can be deployed to any edge device, whether that is a MCU, processor, GPU or even a mobile device.

Data agnostic

Our platform allows enterprises to manage their sensor, audio and vision data regardless of how it is formatted and where it exists today. From data transformation to DSP, we can help you visualize and wrangle your data to unlock its potential.

Develop new skillsets

Build in-house embedded ML skills over time with Edge Impulse, which can be accessed as a low-to-no code tool to a Jupyter notebook which can be used to make API calls to the platform.

Case studies

Prevent Heat Exhaustion
A solution to keep first responders safe when they're most at risk, leveraging on-device real-time analytics.

Talk with an expert