From the smartphone in your pocket to the smart speaker in your home, from editing tools to workspace apps, artificial intelligence (AI) is spreading its roots everywhere. The newest industry to adopt AI is auto racing. F1 racing’s governing body has announced it is trialling technology to deal with track limit violations, which will be in action at this weekend’s final race, the Abu Dhabi Grand Prix.
The Paris-based Fédération Internationale de l’Automobile (FIA) said it would use “computer vision” technology that uses shape analysis to determine the number of pixels that pass over the edge of a track.
Why the FIA uses AI
At this year’s Austrian Grand Prix, just four people were sent to deal with around 1,200 possible violations, according to Reuters. By the time of October’s Qatar Grand Prix, which decided the title, that number had increased and the number of people deployed to deal with violations rose to eight. These guys evaluated the track limits and monitored the 820’s corner paths.
The magazine said that despite increased monitoring, some violations went unpunished at the US Grand Prix in Austin in October. They expressed an inability to properly police track limit violations and sought a solution before the start of next season.
How AI helps the FIA
AI can help identify genuine violations where drivers cross the white line at the edge of the truck with all four wheels. The move is said to reduce the workload on the FIA’s Remote Operations Center (ROC) and speed up response times.
Tim Marillon, the FIA’s head of remote operations and deputy race director, said the computer vision technology the FIA wanted to use was already used effectively in medicine, such as cancer testing.
“They don’t want to use computer vision to diagnose cancer. What they want to do is use computer vision to filter out 80% of cases where cancer clearly doesn’t exist, and to It’s about giving people time to get tested.’20%,’ he reportedly said.
According to Malyon, the Computer Vision layer reduces the number of potential breaches the ROC considers, which in turn reduces the number of breaches sent to competitive controls.
“The biggest imperative is to expand our facilities and continue to invest in our software, because that’s how we’re going to make great progress,” he said, adding: “Real-time automated police systems are the way forward. ” he added.
The Paris-based Fédération Internationale de l’Automobile (FIA) said it would use “computer vision” technology that uses shape analysis to determine the number of pixels that pass over the edge of a track.
Why the FIA uses AI
At this year’s Austrian Grand Prix, just four people were sent to deal with around 1,200 possible violations, according to Reuters. By the time of October’s Qatar Grand Prix, which decided the title, that number had increased and the number of people deployed to deal with violations rose to eight. These guys evaluated the track limits and monitored the 820’s corner paths.
The magazine said that despite increased monitoring, some violations went unpunished at the US Grand Prix in Austin in October. They expressed an inability to properly police track limit violations and sought a solution before the start of next season.
How AI helps the FIA
AI can help identify genuine violations where drivers cross the white line at the edge of the truck with all four wheels. The move is said to reduce the workload on the FIA’s Remote Operations Center (ROC) and speed up response times.
Tim Marillon, the FIA’s head of remote operations and deputy race director, said the computer vision technology the FIA wanted to use was already used effectively in medicine, such as cancer testing.
“They don’t want to use computer vision to diagnose cancer. What they want to do is use computer vision to filter out 80% of cases where cancer clearly doesn’t exist, and to It’s about giving people time to get tested.’20%,’ he reportedly said.
According to Malyon, the Computer Vision layer reduces the number of potential breaches the ROC considers, which in turn reduces the number of breaches sent to competitive controls.
“The biggest imperative is to expand our facilities and continue to invest in our software, because that’s how we’re going to make great progress,” he said, adding: “Real-time automated police systems are the way forward. ” he added.