CIOApplications
static-image
  • Home
  • Applications
      • Bioinformatics
      • Business Continuity
      • Business Intelligence
      • Chatbot
      • Collaboration
      • Custom Software Development
      • CRM
      • Enterprise Reporting Software
      • GRC
      • Human Resource
      • Indoor Positioning
      • InsurTech
      • Intellectual Property
      • IT Operations Management
      • IT Service Management
      • Low Code Platform
      • Maintenance Management
      • Managed IT Services
      • MarTech
      • Master Data Management
      • Mobile Application
      • Order Management
      • Parking Management
      • Procurement Tech
      • Publishing Software
      • Remote Monitoring
      • RFID
      • Sales Tech
      • SAS
      • Software Testing
      • Task Management
      • Unified Communications
      • Workflow
      • Workplace Management
  • Verticals
      • BioTechnology
      • Construction
      • Contact Center
      • Education
      • Fintech
      • Food and Beverages
      • Government
      • Healthcare
      • Legal
      • Logistics
      • Manufacturing
      • Travel and Hospitality
      • Utilities
  • Technologies
      • Agile
      • API
      • Artificial Intelligence
      • Blockchain
      • CAD/CAM
      • Cloud
      • Cyber Security
      • Data Analytics
      • Data Center
      • Digital Transformation
      • Graphics
      • IoT
      • Machine Learning
      • Machine Vision and Imaging
      • Predictive Analytics
      • Robotic Process Automation
      • Simulation
      • Smart Labelling
  • Eco System
      • Adobe
      • Amazon
      • Esri
      • Google
      • IBM
      • Infor
      • Kubernetes Partner
      • NetSuite
      • Oracle
      • PTC Partners
      • Qlik Partner
      • Salesforce
      • ServiceNow
      • SiteCore
      • VMware
  • Vendors
  • News
  • Newsletter
  • Whitepaper
  • conferences
  • About Us
  • Specials

  • Menu
      • Business Continuity
      • Chatbot
      • Cloud
      • Collaboration
      • Contact Center
      • Esri
      • Human Resource
      • InsurTech
      • IT Service Management
      • Machine Learning
      • Manufacturing
      • Master Data Management
      • Procurement Tech
      • Robotic Process Automation
      • Salesforce
      • ServiceNow
      • Simulation
      • Software Testing
  • Contact Center
  • Collaboration
  • Chatbot
  • Esri
  • Simulation
  • InsurTech
  • Human Resource
Specials
  • Specials

  • Business Continuity
  • Chatbot
  • Cloud
  • Collaboration
  • Contact Center
  • Esri
  • Human Resource
  • InsurTech
  • IT Service Management
  • Machine Learning
  • Manufacturing
  • Master Data Management
  • Procurement Tech
  • Robotic Process Automation
  • Salesforce
  • ServiceNow
  • Simulation
  • Software Testing
×
#

CIO Applications Weekly Brief

Be first to read the latest tech news, Industry Leader's Insights, and CIO interviews of medium and large enterprises exclusively from CIO Applications

Subscribe

loading
  • Home
  • Image Recognition
Editor's Pick (1 - 4 of 8)
left
Using IT as a  Competitive Advantage

Using IT as a Competitive Advantage
Klas Bendrik, CIO, Volvo Cars

A Global Understanding Imperative in the Automotive World

A Global Understanding Imperative in the Automotive World
Dennis Hodges, CIO, Inteva Products

IT-Taking the Lead to 'Connect'

IT-Taking the Lead to 'Connect'
Timothy McCabe, CIO, Delphi Automotive PLC

CIO at the Crossroads of Technology and Business

CIO at the Crossroads of Technology and Business
Walter Yosafat, SVP & Global CIO, Wyndham Worldwide [NYSE:WYN]

The Computer Will See You Now: How Artificial Intelligence is Redefining How We Work and Becoming Easier for Businesses to Adopt

The Computer Will See You Now: How Artificial Intelligence is...
Todd Matsler, Director - Global Video Team, Intel Internet of Things Group

Advanced Tech Helps Close the Door on Fraud

Advanced Tech Helps Close the Door on Fraud
Kathleen Peters, Experian’s Senior Vice President and Head of Fraud & Identity, Experian

From

From "Check Engine" to "Check A.I."
Tom Fournier, CTO, Opus Inspection

Manufacturing in the Digital Age

Manufacturing in the Digital Age
Heppelmann, Divisional General Manager, Manufacturing Solutions, PTC

right

Thank you for Subscribing to CIO Applications Weekly Brief

6 Path-Breaking Potentials of Image Recognition for the Future

By CIO Applications| Monday, October 14, 2019
Tweet

Image RecognitionThe future image recognition applications hold immense potential in optimizing almost every business process, and here is the gist of it.   

FREMONT, CA: Image recognition technologies are contributing to advancements in various sectors. Businesses are constantly striving to utilize this technology and offer enhanced solutions to their customers. The concept of image recognition is powered by artificial intelligence-driven computer vision conceptualization, which is designed to process and analyze visual data such as videos and images. Here are some of the potential image recognition applications which are sure to transform the future.    

 • Gathering and Organizing Data

The underlying approach beneath image recognition technology is to mimic the way the human brain processes an image. AI-enabled algorithms enable the software to interpret the image as either a vector (polygon-based) or a raster (pixel-based) image. The software then identifies the essential data in the image and breaks it into separate objects for analysis.

• Boosting Augmented Reality Applications

Augmented reality applications are set to increase with the advancement in image recognition technology. Equipping the real-world objects with digital information will become much simpler with image recognition. Businesses who are eyeing to delve into augmented reality can benefit largely with parallel incorporation of image recognition technology into their projects.

 • Building Predictive Models             

One of the primary applications of image recognition technology is to aid a number of computer vision tasks such as object detection, visual search, semantic segmentation, and others. Image recognition has AI-driven algorithms to act on a raw input image. The process shall further categorize images based on various attributes. A predictive model is capable of automatically finding patterns and tagging each image with one or more such labels. The final result might be an improved system owing to the self-learning capabilities of the computer vision systems.

 • Powering Self-Driving Cars

The self-driven car has been the buzz in the automobile industry. Various companies are already working on different versions of self-driving vehicles. However, not much can be achieved without significant contributions from computer vision technology. The technology is responsible for the rapid development and enhanced safety features in the upcoming automobiles. AI algorithms are being employed to recognize various objects on the road to promote autonomous driving. Image recognition will have an important role to play in this aspect. Moreover, image recognition technology can also predict the location, speed, and behavior of other objects in motion.

 • Training Machines with Visual Inputs

Apart from an impressive number of image recognition applications in the consumer-oriented market, it has immense potential in important industrial and manufacturing processes as well. For instance, image recognition can help in the development of machines that automatically detect defects in manufacturing devices. Apart from this, the AI-powered systems can also recognize previously unknown defects because of their capability to self-learn.

 • Applications in Healthcare

Accurate patient data recognition has always been a challenge for hospitals. The issue has gained momentum due to the increased interoperability, which has increased the chances of patient data mismatch errors. AI-powered systems have influenced healthcare professionals as they consider the potential applications of this technology in several ways. Apart from patient recognition, the technology can also be used in securing hospital facilities, detecting patients’ emotions, and for spotting patient frauds.

Apart from the above, there are several other potential applications of image recognition technology that will change the industries and societies alike. Image recognition is set to contribute to the rapid transformation of the future. It is high time for the players to incorporate image recognition and walk towards fruition eventually. 

See Also: Top Software Testing Solution Companies

Weekly Brief

loading
ON THE DECK

Top Vendors

Field Service 2021

Top Vendors

Previous Next
Tweets by CIOApplications

Read Also

EPAM to Acquire PolSource to Scale its Salesforce Capabilities and Expand into New Markets

EPAM to Acquire PolSource to Scale its Salesforce Capabilities and Expand into New Markets

Destaco Launches TC1 Manual Tool Changer for Cobots

Destaco Launches TC1 Manual Tool Changer for Cobots

Four Business Challenges in Procurement

Four Business Challenges in Procurement

Five Trends Set to Transform the Contact Center

Five Trends Set to Transform the Contact Center

How the Weaponization of Artificial intelligence (AI) can Impact the Future of Humanity

How the Weaponization of Artificial intelligence (AI) can Impact the Future of Humanity

AiFi Announces Partnership with Wundermart to Launch Autonomous Convenience Stores

AiFi Announces Partnership with Wundermart to Launch Autonomous Convenience Stores

Loading...

I agree We use cookies on this website to enhance your user experience. By clicking any link on this page you are giving your consent for us to set cookies. More info

Copyright © 2021 CIOApplications. All rights reserved. Registration on or use of this site constitutes acceptance of our Terms of Use and Privacy Policy |  Sitemap  |  Subscribe |  About Us

follow on linkedin follow on twitter follow on rss
This content is copyright protected close

However, if you would like to share the information in this article, you may use the link below:

https://www.cioapplications.com/news/6-pathbreaking-potentials-of-image-recognition-for-the-future-nid-5167.html