Summary
Lenovo has described three projects with Formula E: AI correction of onboard racing footage, a conversational guide to the championship, and an augmented-reality concept for showing live race data. The company reports performance figures for the first two; the data overlay is presented as a concept.
Lenovo has outlined three projects with Formula E that apply AI and augmented reality to race broadcasts and fan experiences. In a Lenovo StoryHub account dated 13 October 2026, the company described an onboard-video enhancement pilot, a conversational guide to Formula E and an augmented-reality (AR) concept for displaying race data. The work spans image processing, access to championship information and the presentation of live competition data.
Improving onboard video and access to Formula E information
Onboard cameras can move rapidly between difficult visual conditions, including glare, haze, tunnels and changing light. Lenovo says its AI Video Optimization pilot was tested with footage from night racing in Jeddah and daytime racing in Monaco. The system adjusted image quality dynamically, correcting colour and improving clarity. Formula E tested and validated the pilot, which Lenovo says completed enhancement in under three seconds. The account also describes improvements to hazy footage and a reduction in the heavy yellow tint in Monaco tunnel footage.
The processing time is intended to support near-real-time correction during broadcast production. More consistent images could help preserve the onboard view as conditions change, while reducing some manual correction work for broadcast teams. The source describes this as a pilot rather than a routine service across races.
A second project, the AI Fan Experience Guide, lets users ask questions about the championship, drivers, circuits and technical rules through a lifelike digital human. Lenovo says its xIQ system handles knowledge retrieval and response generation. Formula E material was prepared for AI retrieval, and the teams tested hundreds of questions to refine how the system located and grounded information.
Lenovo reports that the guide was developed in under 30 days, achieved more than 95% answer accuracy across its connected knowledge base and returned responses in under one second. The accuracy figure applies to that knowledge base, rather than establishing performance across unrestricted topics. The same interface could also provide practical venue guidance to racegoers, according to the company.
An AR concept for live race data
The third project is an AR broadcast concept designed to place selected vehicle and race information within an in-car view. Its planned heads-up display can show more than 10 real-time data points, such as speed, energy, ATTACK MODE status, G-force, position and the gap between cars. Lenovo says the design targets less than one second between live vehicle data and its appearance on screen.
Formula E supplies the data and sporting context, while Lenovo contributes processing, display design and integration expertise. Bringing selected metrics into the broadcast could help viewers follow race strategy and changing positions. The concept also creates a potential format for sponsor-linked graphics. Lenovo describes it as a concept; its account does not present it as an established feature of live race coverage.
Together, the projects address different points in the fan experience: seeing the race clearly, finding information about it and understanding selected data as events unfold. The reported pilot results and guide figures come from Lenovo's account of the partnership.