Edge Impulse is the leading development platform for machine learning (ML) on edge devices. It provides an end-to-end environment for building, training, and deploying highly optimized ML models on microcontrollers, embedded systems, and other resource-constrained hardware. The platform streamlines the entire ML workflow, from sensor data collection (e.g., audio, vision, motion) and preprocessing to model design, training, validation, and ultimately, deployment of efficient inference code directly to edge devices. This enables real-time AI applications without constant cloud connectivity, offering benefits like reduced latency, enhanced privacy, lower bandwidth usage, and improved power efficiency. Edge Impulse caters to developers and enterprises looking to integrate AI into IoT, industrial automation, predictive maintenance, and smart device applications. It supports various ML paradigms, including classification, anomaly detection, and object detection, making advanced AI accessible for a wide array of edge computing challenges. Its robust tools and hardware integrations simplify the complex process of bringing ML from the cloud to the 'tinyML' world.
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