Originally published in The Verge, July 29, 2024.
When Simone Biles saluted the judges and stepped onto the mat to vault at the Sportpaleis in Antwerp, Belgium, it seemed like every camera in the packed arena was trained on her. People in the audience pulled their smartphones to record. The photographers zoomed in from their media perches. One TV camera tracked her run on a high-speed dolly, all the way down the runway, as she hurdled into a roundoff onto the springboard. The spider cam, swinging above, caught the upward trajectory of her body as she turned towards the table and blocked up and off, twisting one and a half times before landing on the blue mat and raising her arms above her head. The apex of human athleticism and kinesthetic beauty had been captured.
But there were other cameras that few other people watching in the arena were thinking about as they took in Biles’ prowess on the event: the four placed in each corner of the mat where the vault was situated. These cameras also caught the occasion but not with the purpose of transmitting it to the rest of the world. These were set up by the Japanese technology giant Fujitsu, which, since 2017, has been collaborating with the International Gymnastics Federation (FIG) to create an AI gymnastics judging system.
In its early days, the system used lidar (light detection and ranging) technology to create 3D composites of gymnasts in action. These days, it uses an even more sophisticated system, drawing from four to eight strategically placed hi-def cameras to capture the movement of the athletes, make 3D models, and identify whether the elements they are performing fall into the parameters established by the judging bodies inside the federation.
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