Common Purchase

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IoT Devices:

Embedded machine learning is commonly used in IoT devices for tasks such as predictive maintenance, anomaly detection, and optimization of energy consumption.
Wearable Devices:

Smartwatches, fitness trackers, and other wearable devices utilize embedded machine learning for activities like gesture recognition, health monitoring, and personalized recommendations.
Edge Cameras and Vision Systems:

Cameras and vision systems with embedded machine learning enable real-time object detection, facial recognition, and image classification without relying on external servers.
Autonomous Vehicles:

Embedded machine learning plays a crucial role in the decision-making processes of autonomous vehicles, enabling them to process sensor data and make split-second decisions on the road.
Industrial Automation:

Embedded machine learning is used in industrial settings for predictive maintenance, quality control, and process optimization.

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