Predictive maintenance

With Edge Impulse, enterprises across smart factory, appliances, automotive and more are able to accelerate the development of predictive maintenance algorithms using sensor, audio and vision data.

Water utility leak detection

Utilize acoustic, pressure and other sensor data to catch water leaks early and prevent wastage over time.

Appliance failure detection

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

Assembly line inspection

Use computer vision to help increase worker productivity and decrease human error.

Equipment predictive maintenance

Predict motors, pumps or machinery failure using sensor or audio data to proactively perform maintenance and reduce factory downtime.

Crops disaster protection

Use sensor data to monitor environmental conditions and potential natural disasters to ensure that action can be taken proactively to reduce crops damage.

Automated road inspection

Implement computer vision algorithms to automate the inspection process for capturing defects such as potholes or cracks in roads.

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

Smart Grid Monitoring

Meet RAM-1, the world’s smartest powerline monitoring system.

Safer Roads, Powered by Machine Learning

Automatic wheel lug nut detection using machine learning at the edge.

Talk with an expert