Close Menu
The Stadium BusinessThe Stadium Business
  • News
  • Projects
  • Operations
  • Business
  • Job Listings
    • Job Dashboard
  • Insights
  • Meetings
    • The Stadium Business Summit
    • Design & Development Summit
    • The Stadium Business Asia
    • The Ticketing Business Forum
    • The Ticketing Business Asia
  • Regions
Facebook X (Twitter) Instagram
LATEST:
  • Shah Alam Sports Complex set for major redevelopment
  • Council ends negotiations over Salford Community Stadium sale
  • EV Zug, St. Gallen agree naming rights deals
  • United Center to introduce Banner Level, Monaco extends with Roche Bobois
  • Roig Arena lands CaixaBank as third founding partner
  • Air taxis to connect venues at LA28
YouTube LinkedIn Flickr
Register for #SBS25
The Stadium BusinessThe Stadium Business
  • News
  • Projects
  • Operations
  • Business
  • Job Listings
    • Job Dashboard
  • Insights
  • Meetings
    • The Stadium Business Summit
    • Design & Development Summit
    • The Stadium Business Asia
    • The Ticketing Business Forum
    • The Ticketing Business Asia
  • Regions
Subscribe
The Stadium BusinessThe Stadium Business
Home»Features»Qatar 2022 venues to introduce semi-automated offside technology

Qatar 2022 venues to introduce semi-automated offside technology

Rob RidleyBy Rob Ridley1st July 20224 Mins Read Features Industry News 206 Views
Share
Facebook LinkedIn Twitter Email WhatsApp Copy Link

FIFA has today (Friday) announced that semi-automated offside technology will be used at the 2022 World Cup, with Qatar’s eight stadia for the tournament to be equipped to cater for the venture.

World football’s governing body said the move will offer a support tool for the video match officials and the on-field officials to help them make “faster, more accurate and more reproducible” offside decisions.

FIFA initially utilised video assistant referee (VAR) technology at the 2018 World Cup in Russia, and the organisation has since worked with various partners, the Working Group for Innovation Excellence and technology providers, to further improve the system, including the use of semi-automated offside technology.

The new technology will utilise 12 dedicated tracking cameras mounted underneath the roof of the stadium to track the ball and up to 29 data points of each individual player, 50 times per second, calculating their exact position on the pitch.

The 29 collected data points include all limbs and extremities that are relevant for making offside calls. ‘Al Rihla’, adidas’ official match ball for Qatar 2022, will provide a further element for the detection of tight offside incidents as an inertial measurement unit (IMU) sensor will be placed inside the ball. This sensor, positioned in the centre of the ball, sends ball data to the video operation room 500 times per second, allowing a very precise detection of the kick point.

By combining the limb- and ball-tracking data and applying artificial intelligence, the new technology provides an automated offside alert to the video match officials inside the video operation room whenever the ball is received by an attacker who was in an offside position at the moment the ball was played by a team-mate.

Before informing the on-field referee, the video match officials validate the proposed decision by manually checking the automatically selected kick point and the automatically created offside line, which is based on the calculated positions of the players’ limbs. FIFA said this process happens within a few seconds and means that offside decisions can be made faster and more accurately.

After the decision has been confirmed by the video match officials and the referee on the pitch, the exact same positional data points that were used to make the decision are then generated into a 3D animation that details the position of the players’ limbs at the moment the ball was played.

This 3D animation, which FIFA states will always show the best possible perspectives for an offside situation, will then be shown on the giant screens in the stadium and will also be made available to FIFA’s broadcast partners.

The introduction of semi-automated offside technology at Qatar 2022 comes after successful trials at the 2021 Arab Cup and 2021 Club World Cup, which were held in Qatar and the United Arab Emirates, respectively.

FIFA said further tests will be conducted in the coming months to fine-tune the system before a global standard is implemented to ensure that the new technology can be used across the world of football.

FIFA president, Gianni Infantino, said: “At the FIFA World Cup in 2018, FIFA took the brave step to use VAR technology on the world’s biggest stage, and it has proven to be an undisputable success.

“Semi-automated offside technology is an evolution of the VAR systems that have been implemented across the world. This technology is the culmination of three years of dedicated research and testing to provide the very best for the teams, players and fans who will be heading to Qatar later this year, and FIFA is proud of this work, as we look forward to the world seeing the benefits of semi-automated offside technology at the FIFA World Cup 2022.

“FIFA is committed to harnessing technology to improve the game of football at all levels, and the use of semi-automated offside technology at the FIFA World Cup in 2022 is the clearest possible evidence.”

Johannes Holzmüller, FIFA’s director of football technology and innovation, added: “We will have the semi-automated offside set-up with 12 cameras and the official match ball with connected ball technology in all stadiums at the FIFA World Cup 2022.

“The new technology will provide the video match officials with real-time offside alerts using artificial intelligence. As the video match officials will be quality-controlling these outputs, we still refer to the system as ‘semi-automated offside’ as the video match officials have to validate the proposed decision and then inform the on-field referee.

“By using the exact same data to create a 3D animation for in-stadium fans and TV viewers, fans will receive a quick and accurate visualisation of the offside situation. This process was developed with input from FIFA’s Fan Experience Panel.”

Image: FIFA

FIFA Fifa World Cup Football Qatar 2022 Stadium Technology VAR
Follow on Google News Follow on RSS
Share. Facebook Twitter LinkedIn Email WhatsApp Copy Link
Previous ArticleArena MRV to utilise facial recognition technology
Next Article Shah Alam Stadium targeted for redevelopment
Rob Ridley

Related Posts

Events

Eight venues selected for Brazil’s Women’s World Cup

8th May 2025167 Views
Design & Development

MAMGUSTA set to deliver revamp of Rybnik stadium

30th April 2025
Insights

Q&A: César Azcárate, Director of Sports and Events at IDOM

30th April 2025111 Views

Get this News delivered to your inbox

Top Posts

Shah Alam Sports Complex set for major redevelopment

16th May 20254 Mins Read

Council ends negotiations over Salford Community Stadium sale

16th May 20254 Mins Read
YouTube LinkedIn Flickr
  • Home
  • About Us
  • Privacy Policy
  • Job Listings
  • Contact Us
Copyright © 2025 Xperiology. All rights reserved.

Type above and press Enter to search. Press Esc to cancel.

X We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept”, you consent to the use of ALL the cookies. However you may visit Settings to provide a controlled consent.
Read More Settings ACCEPT
Manage consent

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may have an effect on your browsing experience.
necessary
Always Enabled
Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.
CookieDurationDescription
__cf_bm30 minutesThis cookie, set by Cloudflare, is used to support Cloudflare Bot Management.
__lc_cid2 yearsThis is an essential cookie for the website live chat box to function properly.
__lc_cst2 yearsThis cookie is used for the website live chat box to function properly.
__oauth_redirect_detectorpastThis cookie is used to recognize the visitors using live chat at different times inorder to optimize the chat-box functionality.
cookielawinfo-checkbox-advertisement1 yearSet by the GDPR Cookie Consent plugin, this cookie is used to record the user consent for the cookies in the "Advertisement" category .
cookielawinfo-checkbox-analytics11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional11 monthsThe cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
last_pys_landing_page7 daysAnonymous cookie used to facilitate the 'PixelYourSite' plugin which manages our analytical services.
last_pysTrafficSource7 daysAnonymous cookie used to facilitate the 'PixelYourSite' plugin which manages our analytical services.
pys_first_visit7 daysAnonymous cookie used to facilitate the 'PixelYourSite' plugin which manages our analytical services.
pys_landing_page7 daysAnonymous cookie used to facilitate the 'PixelYourSite' plugin which manages our analytical services.
pys_session_limit1 hourAnonymous cookie used to facilitate the 'PixelYourSite' plugin which manages our analytical services.
pys_start_sessionsessionAnonymous cookie used to facilitate the 'PixelYourSite' plugin which manages our analytical services.
pysTrafficSource7 daysAnonymous cookie used to facilitate the 'PixelYourSite' plugin which manages our analytical services.
viewed_cookie_policy11 monthsThe cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.
analytics
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
CookieDurationDescription
CONSENT2 yearsYouTube sets this cookie via embedded youtube-videos and registers anonymous statistical data.
vuid2 yearsVimeo installs this cookie to collect tracking information by setting a unique ID to embed videos to the website.
advertisement
Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.
CookieDurationDescription
VISITOR_INFO1_LIVE5 months 27 daysA cookie set by YouTube to measure bandwidth that determines whether the user gets the new or old player interface.
YSCsessionYSC cookie is set by Youtube and is used to track the views of embedded videos on Youtube pages.
yt-remote-connected-devicesneverYouTube sets this cookie to store the video preferences of the user using embedded YouTube video.
yt-remote-device-idneverYouTube sets this cookie to store the video preferences of the user using embedded YouTube video.
Save & Accept