https://www.iotworldtoday.com/wp-content/themes/ioti_child/assets/images/logo/IoTWorldToday-mobile-logo.png
  • Home
  • News
    • Back
    • Roundups
  • Strategy
  • Special Reports
  • Business Resources
    • Back
    • Webinars
    • White Papers
    • Industry Perspectives
    • Featured Vendors
  • Other Content
    • Back
    • Q&As
    • Case Studies
    • Features
    • How-to
    • Opinion
    • Podcasts
    • Strategic Partners
    • Latest videos
  • More
    • Back
    • About Us
    • Contact
    • Advertise
    • Editorial Submissions
  • Events
Iot World Today
  • NEWSLETTER
  • Home
  • News
    • Back
    • Roundups
  • Strategy
  • Special Reports
  • Business Resources
    • Back
    • Webinars
    • White Papers
    • Industry Perspectives
    • Featured Vendors
  • Other Content
    • Back
    • Q&As
    • Case Studies
    • Features
    • How-to
    • Opinion
    • Podcasts
    • Strategic Partners
    • Latest videos
  • More
    • Back
    • About Us
    • Contact
    • Advertise
    • Editorial Submissions
  • Events
  • newsletter
  • IIoT
  • Cities
  • Energy
  • Homes/Buildings
  • Transportation/Logistics
  • Connected Health Care
  • Retail
  • AI
  • Metaverse
  • Development
  • Security
ioti.com

Metaverse


Getty Images

edge computing in 2020

2020 Predictions: Computer Vision Projects Will Gain Ground

Computer vision projects are gaining momentum, laying the foundation for an uptick in adoption in 2020.
  • Written by Brian Buntz
  • 6th January 2020

While various forms of artificial intelligence have gained ground in the past couple of years, one form of it—computer vision—shows particular promise in 2020.

Already in 2020, an artificial intelligence (AI) system beat human experts in detecting breast cancer in a recent study published in the journal Nature. The researchers involved in the project, which included Google employees and U.S. and U.K. medical experts, pushed computer vision advances even further. Computer vision applications on the market can do everything from scanning radiological images to determining the contents of a refrigerator.

The variety of computer vision projects could expand in 2020. “Computer vision will be the killer app for AI at the edge,” said Jason Shepherd, vice president of ecosystem at Zededa.

As he speculated on the key trends at this year’s Consumer Electronics Show (CES), Thomas Husson, vice president and principal analyst at Forrester, was upbeat about computer vision. At CES, Husson expects a growing focus on computer vision as well as on augmented reality and advanced audio technologies.

While enterprises have adopted computer vision at a faster rate than consumers, computer vision is heating up in the consumer space as well. The public has become more exposed to the technology given that a facial recognition feature can now unlock smartphones., And consumer websites such as Pinterest have helped popularize visual search. “Detecting objects in context will also open up new use cases when paired with other technologies such as augmented reality or IoT,” Husson said.

[IoT World is North America’s largest IoT event where strategists, technologists and implementers connect, putting IoT, AI, 5G and edge into action across industry verticals. Book your ticket now.]

IP camera proliferation is also boosting computer vision projects. An IHS Markit report predicted some 1 billion surveillance cameras by 2021. In addition, cameras are increasingly deployed in the industrial sector, in autonomous vehicles, drones, augmented reality and beyond. And cameras are “one of the best sensors around for deriving rich, high-bandwidth information,” according to Shepherd.

Computer vision remains a popular topic for researchers at tech firms and academia. Tech heavyweights such as IBM, Amazon, the Chinese firms Baidu and Tencent, Microsoft and Google all have substantial computer vision initiatives, as do many prominent international academic institutions.

Analyst firms are also optimistic about computer vision’s prospects. Computer vision was one of the most mature technologies in the Gartner Hype Cycle for Artificial Intelligence, 2019. Gartner projected the AI subsector to be between two and five years away from mainstream adoption, while the most-recent Forrester New Wave dedicated to computer vision platforms counted 11 vendors. The Forrester document also concluded that the computer vision platform market was moving at “light speed.”

Computer vision projects are admittedly overhyped but also promise superhuman results. In law enforcement, for instance, surveillance cameras equipped with computer vision could theoretically find a wanted fugitive in a crowd of hundreds.

And the technique could potentially be used to help address a shortage of radiologists in countries such as the U.S. and the U.K.

Ankur Tomar, regional solutions marketing manager at Newark, also notes that computer vision techniques can improve the localization of robots and inspection systems in industrial settings. If computer vision is used in tandem with sensor fusion, Tomar foresees the technique having an array of potential applications.

“In industrial computer vision applications,” Tomar said, “a quality-control inspector […]  can use data from multiple sensors recorded during assembly in addition to pictures of an assembled product, to assess whether it should pass or fail.”

While computer vision adoption is expanding, it’s still early days. A universal challenge for computer vision is data overload. Few organizations are well equipped to process massive amounts of image or video data in an automated fashion.

Another barrier to widespread computer vision adoption — at least for surveillance applications — is the privacy ramifications. “In addition to consuming high bandwidth and leveraging different tool sets than edge computing workloads that involve structured/binary data, computer vision workloads are unique in that they tend to raise the most concerns about privacy,” said Shepherd, of Zededa.

Computers have improved at sensing the surrounding world around us, “hence the massive data and privacy implications,” agreed Husson.

The privacy concerns relating to facial recognition have received widespread attention. In 2019, San Francisco and Oakland, California, and a trio of Massachusetts communities banned facial recognition tools for use in law enforcement. Portland, Oregon, plans to do the same.

Meanwhile, a growing number of governments have prioritized privacy-related legislation — with the General Data Protection Regulation and the California Consumer Privacy Act being two prominent examples.

The growing interest in computer vision for surveillance, among other things, will lead to a “focus on ensuring that PII [personally identifiable information] is handled appropriately, with details being removed at the point of data creation based on policy,” Shepherd said.

Athena Security, an Austin, Texas–based startup that makes a gun-detecting security camera system, is using such an approach. The system blurs subjects’ faces and does not use cloud-based storage Lisa Falzone, chief executive officer at Athena Security, said the approach could help prevent or speed the response to mass shootings without infringing on the public’s privacy.

Shepherd predicts there will be an uptick in the sharing of data sets that support the public good. He sees this trend especially relevant “for use cases that involve common patterns — for example, identifying demographics of people [such as] and recognizing common objects [such as a] car, bus, bike [or] weapon.”

At present, training computer vision models is often time-consuming and costly. Commoditization of data models could help streamline this training phase, helping lead to an uptick in the variety of computer vision projects. “The focus for differentiation will shift to programming models for specific contexts, such as identifying quality issues in factories where every product produced is unique,” Shepherd predicted.

It’s worth pointing out that computer vision systems are only as good as their training data. As a recent MIT News piece explained, common objects positioned at odd angles and with varied backgrounds can stump even advanced computer vision programs. A team comprising MIT and MIT researchers, among others, are working to improve the accuracy of such systems when encountering atypical images. “We need better, smarter algorithms,” one MIT research scientist told MIT News.

Luckily, researchers around the world have tackled computer vision and related fields such as adversarial machine learning, which could help boost the intelligence of such algorithms.

For now, relatively straightforward computer vision use cases will likely take off first. In the long run, if organizations can develop the requisite data and privacy maturity needed to unleash the computer vision, they can get closer to what some deem the “ of AI: understanding and predicting the environment.

Tags: Edge computing AI Metaverse Features

Related Content


  • Move to the Cloud. Go Beyond.
    An innovative new category of application for building high-performance microservices and APIs with no operations required.
  • Dell Technologies World 2022: Michael Dell Talks What’s Next in Tech
    A key opportunity for the company is the growth in edge computing
  • Nations Ranking Highest for Efficiently Deploying Cloud
    Where did the U.S. place?
  • Image shows a metaverse concept background with perspective and copy space - 3d illustration
    Businesses Gear up for the Metaverse
    What is the Metaverse and does it already exist?

Leave a comment Cancel reply

-or-

Log in with your IoT World Today account

Alternatively, post a comment by completing the form below:

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Latest News

  • IoT Deals and Partnerships Roundup: Sony, Emnify, Nexxiot and more
  • Wimbledon 2022: AI Operations Inside the Control Room 
  • AI Summit 2022: Bob Compton, CIO of Mobilize Financial Services
  • Image shows AutoTrader's Nick King
    AI Summit 2022: AutoTrader's Nick King

Roundups

View all

IoT Product Roundup: Canonical, InfluxData, Wiliot and More

23rd June 2022

IoT Product Roundup: Cisco, Telit, Draganfly and More

9th June 2022

IoT Deals, Partnerships Roundup: Google, Arm, Senet and More

26th May 2022

White Papers

View all

The Role of Manufacturing Technology in Continuous Improvement Ebook

6th April 2022

IIoT Platform Trends for Manufacturing in 2022

6th April 2022

Latest Videos

View all
Image Shows John Lewis' Barry Panai at AI Summit London 2022

AI Summit 2022: John Lewis’ Barry Panayi on AI in Retail

Panayi talks about data and AI in retail and how individuals and the technology can work together

AI Summit 2022: easyJet’s Ben Dias on AI in Aerospace

The company’s director of data science and analytics talks about the industry’s use of AI.

E-books

View all

How Remote Access Helps Enterprises Improve IT Service and Employee Satisfaction

12th January 2022

An Integrated Approach to IoT Security

6th November 2020

Webinars

View all

Rethinking the Database in the IoT Era

18th May 2022

Jumpstarting Industrial IoT solutions with an edge data management platform

12th May 2022

AI led Digital Transformation of Manufacturing: Time is NOW

9th December 2021

Special Reports

View all

Omdia’s Smart Home Market Dynamics Report

7th January 2022

Cybersecurity Protection Increasingly Depends on Machine Learning

28th October 2020

IoT Security Best Practices for Industry and Enterprise

20th October 2020

Twitter

IoTWorldToday, IoTWorldSeries

Microsoft Extends Secured-Core Program to IoT Devices dlvr.it/STMg4k https://t.co/laBPF5VjC4

5th July 2022
IoTWorldToday, IoTWorldSeries

Spot the Robot Dog Helps Police Ahead of Boston’s Fourth of July Celebration dlvr.it/STKWjb https://t.co/LdRg7a2xqU

4th July 2022
IoTWorldToday, IoTWorldSeries

Another 59,000 @Teslas being recalled over a software glitch affecting the vehicle’s Emergency Call safety system… twitter.com/i/web/status/1…

4th July 2022
IoTWorldToday, IoTWorldSeries

Join us in the premier #tech destination of #Austin this November 2-3 for our next #IoT event. Connect and collabo… twitter.com/i/web/status/1…

4th July 2022
IoTWorldToday, IoTWorldSeries

SoftBank, May Mobility Team on Autonomous Driving dlvr.it/STJrW0 https://t.co/mOYoBsgs14

4th July 2022
IoTWorldToday, IoTWorldSeries

Firefly-Inspired Robots Enable Motion Tracking, Communication dlvr.it/STJn0H https://t.co/ksRSzYcR4z

4th July 2022
IoTWorldToday, IoTWorldSeries

Partnership to Globally Expand Robotics Solutions dlvr.it/STJlyx https://t.co/YWAtpUfcNd

4th July 2022
IoTWorldToday, IoTWorldSeries

Researchers Use Robotic Prey to Track Predator Behavior dlvr.it/STJjyB https://t.co/6rJICwgK2i

4th July 2022

Newsletter

Sign up for IoT World Today newsletters: vertical industry coverage on Tuesdays and horizontal tech coverage on Thursdays.

Special Reports

Our Special Reports take an in-depth look at key topics within the IoT space. Download our latest reports.

Business Resources

Find the latest white papers and other resources from selected vendors.

Media Kit and Advertising

Want to reach our audience? Access our media kit.

DISCOVER MORE FROM INFORMA TECH

  • IoT World Series
  • Channel Futures
  • RISC-V
  • Dark Reading
  • ITPro Today
  • Web Hosting Talk

WORKING WITH US

  • Contact
  • About Us
  • Advertise
  • Login/Register

FOLLOW IoT World Today ON SOCIAL

  • Privacy
  • CCPA: “Do Not Sell My Data”
  • Cookies Policy
  • Terms
Copyright © 2022 Informa PLC. Informa PLC is registered in England and Wales with company number 8860726 whose registered and Head office is 5 Howick Place, London, SW1P 1WG.
This website uses cookies, including third party ones, to allow for analysis of how people use our website in order to improve your experience and our services. By continuing to use our website, you agree to the use of such cookies. Click here for more information on our Cookie Policy and Privacy Policy.
X