Smart industry

With Edge Impulse, industrial enterprises and equipment manufacturers are adding new insights to their sensor networks through embedded machine learning.

Add value to industry with ML

Enhanced productivity

Enable more productive factories by leveraging 99% more sensor and device data.

Reliable insights

Provide 24/7 status monitor of equipment to ensure an always-on assembly line.

Employee safety

Continuous and non-intrusive monitoring of worker behavior and safety critical applications to keep everyone safe and productive.

Industry use cases

Assembly line inspection

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

Worker protection and monitoring

Ensure worker safety by monitoring protective gear usage and providing real-time feedback on safety-critical applications

Asset or parcel tracking

Give an asset context to where it is in the overall supply chain through analysis of real-time sensor data, to ensure more on-time deliveries.

Component defect detection

Improve manufacturing yields and speed up quality control using computer vision techniques to automate detecting defects.

Intelligent machinery

Develop smarter machines that can real-time identify dangerous conditions and shut off or send alerts.

Equipment predictive maintenance

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

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

AI-Automated Hard-Hat Detection
Enhancing health and safety in industrial environments with embedded machine learning.
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