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Computer Vision
at the Edge
Speed up your computer vision development and reduce resource requirements with ultra low-power computer vision on edge devices.
Develop Real-world Computer Vision Applications for the Edge
Build, optimize, and deploy AI models on any edge system, from industrial gateways to ultra low-power cameras
Accelerate and automate data collection, labeling, and validation without manual intervention.
Iterate quickly and adapt to changing needs and environments.
Benefit from the lowest possible BOM cost by deploying AI to cost-efficient and ultra low-power cameras.
Achieve long battery life (up to 10 years depending on use case).
Save Time with Automated Data Tasks
Synthetic image data
Augment your datasets by leveraging the latest foundational models from OpenAI and Hugging Face to generate photorealistic images all from within the Edge Impulse platform.
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Simulate the real world
Generate images from a photorealistic simulation leveraging the power of Omniverse Replicator, that is seamlessly integrated with Edge Impulse.
Automate your image data labeling with GenAI
Optimize your labeling workflow with the help of the latest AI models from Hugging Face, Open AI as well as your previously trained models. Avoid tedious and time consuming manual labeling with AI Labeling to automatically inspect, label and validate your dataset in record time, through a powerful and flexible workflow builder.
Latest Edge AI Vision Models
The only object detection model that can run on constrained devices, designed from the ground up for the edge, and is able to achieve 30x better performance than MobileNet SSD and to run in <200K of RAM.
Unlock Edge AI Experimentation
Edge Impulse enables teams to develop and deploy edge AI models that deliver meaningful business insights.
Accelerate your project development by experimenting with different ML models simultaneously.
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Find and select the best computer vision model for your application within the constraints of your target device. The EON Tuner analyzes your data and all the possible neural network architectures - and gives you an overview of the optimal set of models that will fit your chosen device's latency and memory requirements.
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Everything you develop will be able to be optimized and run on the largest variety of devices, thanks to our EON Compiler and our flexible deployment options.
Use Computer Vision on the Edge for
Case Studies
Start using Edge Impulse for Computer Vision applications
Reach out to our experts to learn how Edge Impulse can give you the competitive edge.
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