Edge computing is the principle of creating a subordinate IT infrastructure, in which part of the computational resources is transferred from the central core – the data center – to the periphery and placed close to where the primary, “raw” information is developed for their preliminary processing before being transferred to the central computing node.

Accordingly, data is collected and analyzed not in a centralized calculation environment (DPC) but in a place where data flows are created.

Areas of application

One way or another, edge computing is embedded in most projects used for business and entertainment, and Intel has built thousands of technologies with many industry partners and customers. Below you can see examples of edge computing projects that show how new capabilities have improved the efficiency of different companies.

Here are the areas of use:

1. Retail. The technology uses sensors and video cameras to determine what inventory is required at the point of sale, to develop product assortments, and to improve delivery efficiency. Edge computing improves the shopping experience and increases security by investigating customer behavior close to real-time. For example, the solution made it possible to safely open retail outlets during the pandemic by monitoring social distancing and converting.
2. Industry. By introducing physical and electronic technologies to improve productivity, edge computing can provide the basis for the next industrial revolution. For example, Nebbiolo Technologies was able to create a flexible system in collaboration with the designers at Audi. The result is a large-scale platform that uses machine learning sequences and predictive research to optimize welding quality control and modernize essential production steps.

   

3. Education. Specific software projects apply AI embedded in devices for individualized virtual support, simple language coordination, and even augmented reality resources. For example, electronic whiteboards use techniques to implement a classroom atmosphere during online lessons for teachers and students.
4. Health care. Through outpatient and inpatient monitoring, telemedicine technology makes it possible to transform results and apply information processing based on automated and deep learning on units for imaging and timely diagnosis. Company Philips has made the logical development of AI for imaging on CT diagnostic devices without creating new, expensive machines.

The Internet of Things involves collecting information from various devices and applications and applying the mechanisms to obtain accurate information that benefits entrepreneurship. In different industries, manufacturing, and utilities, this technology increases customer loyalty, improves operational safety and productivity, reduces costs, and increases customer comfort.

Edge computing technology enables companies to monitor the operation of equipment and production lines, record the probability of failures and eliminate them before they occur.