Smart devices or Edge Devices are devices that are designed to perform computation and data processing at the edge of the network, closer to the data source, rather than sending all data to the cloud for processing.
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Smart Devices applications
When these edge devices are programmed with firmware embedded AI, they can perform a variety of tasks, including:
- Predictive maintenance: Edge devices can monitor equipment and machines in real-time and use AI algorithms to predict when maintenance will be required. This can prevent unplanned downtime and reduce maintenance costs.
- Security and surveillance: Edge devices can use AI algorithms to analyze video and audio data in real-time and detect security threats, such as unauthorized access or intrusions. They can also be used for facial recognition, object detection, and license plate recognition.
- Autonomous vehicles: Edge devices can be used in autonomous vehicles, such as self-driving cars and drones, to process data and make decisions in real-time. This can improve safety and efficiency in transportation.
- Healthcare monitoring: Edge devices can be used to monitor patients’ vital signs and other health data in real-time and use AI algorithms to detect anomalies or patterns that indicate a health problem. This can improve patient outcomes and reduce the cost of healthcare.
- Smart homes and buildings: Edge devices can be used to control and monitor various systems in smart homes and buildings, such as lighting, HVAC, and security systems. AI algorithms can learn user behavior and preferences and automatically adjust settings to optimize comfort and energy efficiency.
- Industrial automation: Edge devices can be used in industrial automation applications, such as robotics and manufacturing, to perform real-time data analysis and control processes. This can improve efficiency, reduce errors, and increase production throughput.