Edge computing involves processing data at or near the source of data generation rather than relying on a centralized data-processing warehouse.
Edge computing enables the rapid processing of data at or near its generation point, reducing latency and bandwidth use, which is particularly beneficial in real-time applications. By facilitating data processing on production floors or within manufacturing plants, edge computing enhances operational efficiency and decision-making speed in critical manufacturing environments.
A manufacturing plant uses edge computing for predictive maintenance by processing sensor data directly from machinery components.
Through deployment on site, edge devices analyze vibration and temperature data in real-time to anticipate equipment failures, minimizing downtime and maintenance costs.
Automotive factories utilize edge computing to optimize real-time quality control by analyzing images from production line cameras.
Edge devices verify compliance with quality standards on the factory floor by processing visual and sensory data on site, thereby reducing the requirement to send large volumes of image data to centralized servers.