The Ascendion team used AI-powered models and went to work analyzing and processing large volumes of past pit stop data, including historical race data, telemetry, and real-time sensor inputs. We also analyzed factors such as fuel consumption, tire wear and weather conditions.
The key to our solution was our real-time video analysis, using a neural network in Edge devices. We focused on automated continuous learning and tuning. The Ascendion team also implemented a 3D rendering process through multidimensional real-time object detection.
By analyzing the vast amount of data, we were able to generate valuable insights for race strategy, provide realistic scenarios, find areas of improvement and deliver real-time feedback.
Our AI-powered models accelerated real-time analysis by 400% while reducing errors. Our use of AI helped us streamline processes, reduce unnecessary movements, and optimize the coordination and communication among crew members. With improved reliability and minimized errors during pit stops, the need for added stops or penalties was reduced. We were also able to recommend proper training, standardized procedures and safety equipment to minimize the risk of accidents.
Going forward, the racing team can extract valuable insights from race data, assess performance trends, and adjust strategies on the fly to optimize race outcomes. Additionally, the crew is now alerted to potential risks in pit lane activities with real-time alerts and warnings.
Our solution saw the following results:
Together, we are pioneering revolutionary technology solutions across industries to bring about transformative changes, crafting the future of technology for our valued clients.
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