Intelligent appliances

With Edge Impulse, ship intelligent home and business appliances with hyper-optimized performance through self-sensing and autonomous response.

Add value to appliances with ML

Optimize performance

Enable richer end-user interaction by leveraging 99% more sensor data.

Increase reliability

Protect sensitive user data with on-device inferencing while maintaining intelligent monitoring.

Save energy

Improve appliance efficiency with real-time inputs.

Appliance use cases

High-precision washer water sensing

Adjust washer water fill amount based on custom load size using humidity sensor

Leak detection

Detect early water leakage using humidity, pipe pressure, and acoustics.

Condenser failure detection

Predict condenser failure using humidity and temperature sensors for early appliance maintenance.

Appliance failure detection

Detect appliance failure using vibration anomaly detection using humidity, temperature, and pressure sensors.

Food object detection

Use computer vision to intelligently detect and classify different types of foods, to allow appliances to perform tasks like automating finding recipes, replinishing groceries and more.

Smart coffee machine

Identify coffee pod input using computer vision to adjust machine settings.

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

IoT Gets an ML Boost, From Edge to Cloud
Today, it’s easy to run Edge Impulse machine learning on any OS like the Linux-powered Raspberry Pi and on every cloud, including Microsoft’s Azure IoT.

Talk with an expert