FIA to introduce AI and advanced positioning to detect track limits in 2026
For years, track limits have remained one of Formula 1's most contentious battlegrounds. Drivers push boundaries seeking marginal gains, teams vigorously defend their drivers, and stewards navigate an exhausting maze of disputed calls. The 2023 Austrian Grand Prix exemplified this chaos, forcing officials to review over 1,000 suspected violations in a single weekendâa staggering workload that exposed the urgency for technological intervention.
Enter RaceWatch, the FIA's sophisticated digital nerve center, which integrates real-time incident detection and track-limit monitoring through artificial intelligence. This year marks a watershed moment: the governing body will deploy an entirely revamped system that promises to transform how track violations are policed, making the process faster, fairer, and far more transparent.
From manual chaos to automated intelligence
The FIA's computer-vision system, developed in partnership with Catapult, now automatically detects track-limit infringements by recognizing a car's silhouette and analyzing its behavior against predefined reference points. Previously, officials relied on small teams stationed at trackside corners, a laborious process that invited inconsistency. Today, approximately 95% of cases are processed automatically, with only 5% requiring manual steward reviewâa seismic reduction in workload.
The innovations arriving in 2026 accelerate this transformation further. Most significantly, the FIA will transmit infringement footage directly to teams at the moment a violation is flagged, eliminating protracted post-race deliberation and providing instant clarity. This unprecedented transparency addresses a persistent source of frustration among competitors and fans alike.
The ECAT revolution: every car, all turns
The breakthrough lies in the Every Car All Turns (ECAT) system, which measures every vehicle's behavior against an idealized reference model using both positioning data and micro-sector timing information. Rather than relying solely on camera feedsâwhich inherently have coverage gaps across various circuitsâECAT employs advanced geofencing and precision positioning systems to create a real-time "digital twin" of on-track action.
When a car deviates from the optimal racing line, it necessarily covers additional distance, triggering a detectable change in sector timing. RaceWatch cross-references this telemetry data to pinpoint exactly where a violation occurred, circumventing the need for exhaustive camera analysis. High-performance GPUs now enable distributed processing across the FIA's network infrastructure, allowing instantaneous verification of every lap.
Redefining objectivity in motorsport
By eliminating subjective judgment from the equation and anchoring decisions in objective positional and timing data, the FIA fundamentally reframes how Formula 1 polices its most disputed regulation. Whether this technological revolution finally quiets the perpetual chorus of track-limits complaints remains to be seenâbut for the first time, the evidence will be irrefutable.
Simone Scanu
Heâs a software engineer with a deep passion for Formula 1 and motorsport. He co-founded Formula Live Pulse to make live telemetry and race insights accessible, visual, and easy to follow.