アプリケーションガイド
スポーツの審判と審判における AI
This guide focuses on FIFA’s semi-automated offside technology (SAOT) as documented for the 2022 World Cup.
このガイドを聴くAIによるナレーション · ~2 min
概要
It combines player and ball tracking to assist match officials; other sports and officiating tools have different designs and rules.
ディープダイブ
For the FIFA 2022 implementation, twelve dedicated cameras tracked the ball and up to 29 relevant player data points 50 times per second. A ball-mounted inertial measurement unit sent data 500 times per second to help identify the kick point in tight incidents. The system generated an alert and visualization for video match officials, who validated the kick point and offside line before the referee was informed. FIFA says other judgments, such as whether an offside-positioned player interfered with an opponent, remain for the referee. If SAOT malfunctions, VAR can use established tools such as crosshairs and triangulation.
現実世界の実装
Review FIFA’s documented camera and ball-sensor inputs for a tight offside decision.
Use the system’s proposed kick point and virtual line as evidence for official review.
Retain manual offside tools if the tracking system fails.
Explain that rule interpretation remains with match officials.
スポーツの審判と審判における AI の未来
FIFA’s documented testing criteria and workflow are specific to the system version and tournament context. Future changes should be evaluated against the relevant sport’s rules, measurement accuracy, failure procedures, and human review requirements; this example does not establish how other sports automate officiating.
実践する
なぜそれが重要なのか
- ビルドの選択. AI が実際の成果を向上させるかどうかは、アプリケーション レベルの設計によって決まります。
- チームとワークフロー. ワークフローを適切に統合すると、ユーザーが信頼できる生産性が向上します。
- リスクと安全性. 適切な範囲のユースケースにより、変更の疲労と実装のリスクが軽減されます。
気をつけてください
- 壊れたプロセスを自動化すると、既存の問題がさらに拡大する可能性があります。
- チームが過剰に自動化し、必要な人間の判断を排除してしまう可能性があります。
- 出力が継続的に評価されないと、品質が変動する可能性があります。
次のステップ
- 現在のワークフローをマッピングし、最も摩擦が大きいステップを特定します。
- 完全自動化の前に人間によるチェックポイントを定義します。
- プロンプト、エスカレーション パス、品質基準についてユーザーをトレーニングします。
- タスクレベルの結果を追跡して、持続的な価値を確認します。
探検を続けましょう
よくある質問
What is AI in Sports Refereeing and Officiating?
This guide focuses on FIFA’s semi-automated offside technology (SAOT) as documented for the 2022 World Cup. It combines player and ball tracking to assist match officials; other sports and officiating tools have different designs and rules.
In FIFA’s documented 2022 SAOT setup, how often did the tracking cameras capture player data points?
FIFA states the cameras tracked up to 29 player data points 50 times per second.
In tight FIFA SAOT situations, what information did the ball’s IMU provide?
FIFA says the ball sensor data helps precisely detect the kick point in tight incidents.
Under IFAB Law 11, is being in an offside position by itself an offence?
IFAB distinguishes an offside position from committing an offside offence through involvement in play.
Who validates the proposed kick point and virtual offside line in FIFA’s documented workflow?
FIFA says video match officials manually check the system-selected kick point and generated line.
What did FIFA describe as a fallback if SAOT malfunctions?
FIFA identifies crosshairs and triangulation as other tools available if SAOT malfunctions.