Edge Computing for Facial Recognition & Emotion Detection

Categories: CloudIoTAutomotiveCommunicationsConsumer and RetailFinancial ServicesHealthcareManufacturing and IndustrialMediaTechnology

In this document, we will discuss the key features of Edge Computing, the models of operation, how a distributed framework can move compute resources within the same data servers, and look at the benefits of using Edge Computing in accordance with facial recognition. 

We will also explain the technology behind facial recognition and facial emotion detection by delving deeper into the different hardware and software tools used, so you can gain an accurate understanding of how these considerations impact modern facial recognition technology and development.

Author

4aa901e7ab8295f07139911c8bed1ae6?s=256&d=mm&r=g

Author

Matt R. Cole

Manager, Engineering

View all Articles

Top Insights

Manchester City Scores Big with GlobalLogic

Manchester City Scores Big with GlobalLogic

AI and MLBig Data & AnalyticsCloudDigital TransformationExperience DesignMobilitySecurityMedia
Twitter users urged to trigger SARs against energy companies

Twitter users urged to trigger SARs against energy...

Big Data & AnalyticsDigital TransformationInnovation
Retail After COVID-19: How Innovation is Powering the New Normal

Retail After COVID-19: How Innovation is Powering the...

Digital TransformationInsightsConsumer and Retail

Top Authors

Yuriy Yuzifovich

Yuriy Yuzifovich

Chief Technology Officer, AI

Chet Kolley

Chet Kolley

SVP & GM, Medical Technology BU

Amit Handoo

Amit Handoo

Vice President, Client Engagement

Richard Lett

Richard Lett

VP of Healthcare Technology

Top Insights Categories

  • URL copied!