Human interfaces

With Edge Impulse, wearables, consumer device and appliances manufacturers are leveraging human movement, biometrics and gestures to add new features to their hardware platforms.

Gesture control

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

Volume control using head tilt

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

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.

Wake word detection

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

Acoustic event detection

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

Smart home voice control

Add keyword spotting capabilities to control lights, windows and other fixtures around the home.

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

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