Environment conservation

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 environment conservation with ML

Low power

Put intelligence in the field for longer with low-power machine learning.

Increased efficiency

Increase the efficiency and reach of research using machine learning automation

Real-time

Make 24/7 sensor monitoring possible at the lowest power with minimal connectivity needs.

Environment use cases

Remote environment monitoring

Support environmental policy enforcement using low-powered and long-life battery devices to monitor remote nature areas.

Smart animal tracking

Analyze animal behavior with low-power wearables in real-time using motion, audio and computer vision.

Wildfire detection

Identify wildfires at their outset using remote low-power sensor networks to monitor temperature and audio.

Intelligent camera traps

Identify objects in the field using intelligent camera traps in real-time, saving months from manual memory card processing.

Fishery bycatch reduction

Harmful bycatch can be monitored with automated computer vision and audio identification techniques

Understanding animal language

Identify species and behaviors in the field using bioacoustics and advanced models at extremely low power.

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.

Talk with an expert