Edge Impulse empowers ML teams to run AI at peak performance on any edge hardware, with unmatched ease and speed.
The world’s most innovative companies partnered with Edge Impulse.
Leverage state-of-the-art anomaly detection algorithms and choose the method that best suits your data and application.
Detect anomalies in all sensor modalities with models trained solely on normal data, capable of identifying suspicious signals and indicating when an anomaly is detected, directly on device.
Combine anomaly detection and classification models to increase the robustness of your algorithms and ensure that you are always able to detect and filter out unexpected data inputs.
Build optimized models to detect anomalies in highly dimensional data such as video and image data. Leverage state-of-the-art models built to run efficiently on device.
FOMO (Faster Objects More Objects) is a ground-breaking algorithm that brings real-time object detection, tracking and counting to microcontrollers for the first time. Count objects, find the location of objects in an image, and track multiple objects in real-time.
faster than MobileNet SSD
runs in <200K of RAM
Edge Impulse can be fully integrated within your platform, providing a fully branded and customized experience for your users and customers.
Tap into a rich private analytics dashboard to monitor user engagement, entitlements for enterprise users, project metrics and organizations.
Count on maximum uptime and safety with autoscaling, redundancy, CDN, encryption, and including regular software updates.
Fine-tune your models by analyzing on-device performance and leveraging state-of-the-art optimization techniques.
Test your models with real-world data to catch bottlenecks and make the right tradeoffs before deploying to your device.
Export trained models to an optimized C++ library built for interoperability with any edge device.
Deploy your models with ease while leveraging the ability to continuously monitor and improve their performance.