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Wimbledon drops human line judges for AI

Published Reach 42

Wimbledon just broke a 147-year tradition by replacing sharply dressed human line judges with an automated system. Developed by Sony-owned Hawk-Eye, it uses AI to analyze feeds from up to 18 cameras and call shots within a tenth of a second. The transition has already sparked debate, with players complaining that the synthesized calls are far too quiet on court.

Wimbledon has officially severed ties with one of its most recognizable traditions: the sharply dressed human line judges who have patrolled its pristine grass courts for 147 years.

Starting this week, those navy-blazer-clad officials have been replaced entirely by artificial intelligence and automated camera tracking. While players still wear strict all-white attire and spectators still eat their strawberries and cream, calls on the lines are now made by code.

The radical shift didn't happen quietly. Small protests popped up outside the grounds, and fans online grumbled that eliminating human judges strips the game of its inherent court theatrics. More pressing, however, are early technical hiccups coming straight from the competitors.

Whispering robots and puzzled players

During the women's singles draw, Chinese player Yuan Yue voiced immediate frustration, explaining she could barely hear the automated voice making the calls.

Yuan said she asked the chair umpire to turn up the volume, only to be told that wasn't an option. She pointed out that an umpire's voice is far louder and that other automated tournaments haven't had this issue.

Former officials aren't impressed by the delivery either. Pauline Eyre, who judged lines at Wimbledon for 16 years, told BBC Sport that the calm tone of the synthesized call sounds entirely unconvincing, like it is meekly muttering 'Out... I think.'

Wimbledon communications chief Eloise Tyson clarified that different voice profiles are deployed on adjacent courts so players don't get confused, adding that the tournament won't turn any individual voice actor into the public face of the tech.

Even Carlos Alcaraz and Fabio Fognini questioned the setup during their high-profile clash, though the chair umpire still retains the final say.

18 cameras and a three-millimeter margin

The technology running the show is developed by Sony-owned Hawk-Eye. The electronic line-calling system uses up to 18 tracking cameras positioned around each court.

According to the company, the AI calculates the ball's trajectory within a blistering tenth of a second and maintains an accuracy margin of three millimeters. Human officials can still step in to review visual footage whenever needed.

While the Australian Open and US Open adopted electronic line calling long ago, Wimbledon had resisted, following an initial test at the Queen’s Club Championship earlier this month. Among the Grand Slams, only the French Open at Roland Garros still stubbornly employs human line judges in the name of tradition.

Why it matters

For tennis players, replacing fallible human eyes with 3mm-accurate tracking is theoretically a massive win for competitive fairness. Bad calls have derailed Grand Slam careers in the past, and taking human fatigue out of 130 mph serves is hard to argue against on paper.

However, Wimbledon’s execution seems surprisingly clumsy on the basic user experience. It looks like the engineers obsessed over camera frame rates while failing to test ambient stadium acoustic levels, leaving players like Yuan struggling just to hear an out call. If an umpire cannot even adjust system volume on the fly, that is a frustrating hardware-software blind spot.

Wimbledon dropping a 147-year-old staple also puts immense pressure on Roland Garros, effectively leaving the French Open as the lone holdout for traditional purists. Automated refereeing is clearly winning the sports tech race, but purging human tension, emotional challenges, and visual ceremony might ultimately cost the broadcast product some of its soul.

Sources (1)

  1. [1]
    euronews.com(opens in a new tab)Originaleuronews.com

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