Embedded ML solutions,
with Edge Impulse

Health

Revolutionizing Fall Detection with Edge AI

The prevalence of falls among the elderly and those with limited mobility is a significant factor for personal safety and independence, one which affects the broader context of healthcare and support systems.

Consumer devices

Bringing Voice Control to Earbuds & Headsets

When one of the best-known brands in business and personal productivity hardware set out to build their next generation of wireless headphone hardware, they looked for a functionality that had never been done before.

Automotive

GlobalSense Drives New Standards in Automotive Diagnostics with Edge AI

GlobalSense is a San Diego-based technology startup pioneering a new approach to automotive diagnostics and event detection.

Asset tracking & monitoring

Industrial Asset Tracking with NVIDIA Omniverse and TAO

In this case study, we will look at pallet counting, a key part of global shipping and logistics systems.

Hyfe: Translating Coughs to Actionable Insights

Using a massive, global dataset of cough audio, the Hyfe AI team has employed Edge Impulse to help turn our coughs from annoyances into valuable health indicators.

Predictive Maintenance with Sony Spresense and CommonSense

A how-to guide on using Edge Impulse to detect vibration and air-quality anomalies in industrial environments

Adding AI to Optra Edge

When Lexmark needed to incorporate machine learning into their new industrial gateways, Edge Impulse was the immediate solution.

Academia

Edge Impulse partnered with Harvard SEAS to coauthor a paper detailing how Edge Impulse provides solutions to many of the challenges faced by the edge and embedded machine learning communities, including research and classroom activities.

Smart Cold Chain

Gain real-time insights in the product lifecycle to ensure the product has not been damaged or compromised during shipment.

ML-Powered Agricultural Robotics

Record crop trials and provide precise irrigation levels to quantify the best crop-growing conditions with Edge Impulse.

Safer Roads, Powered by Machine Learning

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

Industry

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.

Remote Grid Monitoring

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

AI-Managed Crop Irrigation

Maximize crops yield and minimize soil degradation and water waste using the Arduino Edge Control and Edge Impulse.

SlateSafety: Predicting Heat Exhaustion

A solution to keep first responders safe when they're most at risk, leveraging on-device real-time analytics.