NBA plans to use AI to call out-of-bounds automatically

The NBA plans to introduce an automated system for officiating decisions, including out-of-bounds calls, when the ball is outside the playing area. League commissioner Adam Silver announced the ambitious plan, which is meant to make officiating more objective and reduce the impact of human error.

Hawk-Eye in basketball

Silver pointed to Hawk-Eye, which has been used in professional tennis for more than ten years to judge line calls. The league will take a similar approach in basketball, adapting the technology to the specifics of the game.

The system will use a network of high-precision cameras installed around the perimeter of the court, plus artificial intelligence to analyze the ball's position in real time. This approach removes subjectivity and delivers maximum accuracy in officiating decisions.

How the system works

The technology is based on computer vision and neural networks. The cameras capture every moment of play at a high frame rate, allowing the AI to determine the ball's position to within a millimeter. The system determines whether the ball crossed the boundary of the court and passes the decision to the officials through a dedicated alert system.

Processing is almost instantaneous: the official sees the result within a few seconds. That saves time and keeps the game moving faster than long pauses to debate a disputed play.

• Multi-angle video monitoring from different viewpoints
• Real-time analysis (200+ fps)
• Court boundary detection with millimeter accuracy
• Automatic alerts to officials
• Decision time of under 2 seconds

Beyond out-of-bounds calls

Silver hinted that the system may be used for more than out-of-bounds calls. In the future, AI could help analyze other disputed situations: touches of the ball on the free-throw area line, double dribbles, or contact by a defender.

The league is testing the system gradually, rolling it out at different levels of basketball, from college games to the professional league. This lets it collect data, train models and make sure the system works reliably in different conditions.

Implementation challenges

Not everyone backs the plan. Critics point out that in tense moments of a game even thousandths of a second matter, and the algorithm has to work without errors. In addition, the NBA will need to retrain officials who have relied on intuition and experience throughout their careers.

"This is an early stage of development, not a final product,"

Silver admitted. The system will keep improving based on real games.

What this means

Professional sports are at a turning point: traditional officiating methods are gradually giving way to AI technology. We have seen it in soccer (VAR), in tennis (Hawk-Eye), and now in basketball. The NBA is not merely trying to avoid high-profile mistakes; the league wants to make the game more entertaining by removing long pauses to discuss disputed moments. For fans, this means faster-paced basketball; for players, more predictable and fair decisions; for the league, more trust and fewer scandals.