- Surveillance and Monitoring:
Deep Learning-enabled smart cameras could locally process captured images to identify and track multiple objects and people, detecting suspicious activities directly on the edge node. These smart cameras minimize communication with the remote servers by only sending data on a triggering event, also reducing remote processing and memory requirements. Intruder monitoring for secure homes and monitoring of elderly people are typical applications.
A smart automotive camera or sensor can recognize vehicles, traffic signs, pedestrians, roads, and objects locally, sending only information needed to perform autonomous driving to the main controller. A similar concept can be applied to robots and drones.
- Expression Analysis to improve shopping, advertising, or driving:
An individual’s emotional reaction can provide clues to their degree of acceptance of a service, like/dislike of various products shown on the shelves in a shop, or their level of stress, which can be used to understand and modulate the type and the amount information delivered.
Smart homes are enabled with many smart features. Features such as mobile app unlocking system, enhanced security, control over household equipment such as refrigeration, telephone, television, computer systems, fans, and even microwave oven. These are few of the very large features of Smart Homes facilitates.
Many more EDGE based applications are available and still, research is being done in certain sectors like education systems and healthcare trying to bring out the technological improvement and opportunities for a better easy life.