Racing Sync
Real-time data and AI-powered insights to optimize racing performance.
Unlock the Power of Real-Time
Gain a competitive edge with instant access to performance insights, eliminating the limitations of traditional telemetry systems.
Overview
RacingSync is a real-time data acquisition and analysis platform designed to optimize racing performance. Developed by Terasynth, RacingSync leverages sensor fusion and cloud technology to provide drivers, coaches, and teams with instant access to critical performance data, eliminating the limitations of traditional telemetry systems.
Here's how RacingSync works:
Sensor Fusion: Combines data from multiple sensors on a driver's smartphone, including GPS, accelerometer, and gyroscope, to accurately track and analyze racing performance.
Real-Time Cloud Upload: Transmits data wirelessly to the cloud for immediate access by coaches and teams, eliminating the need for physical data retrieval from the vehicle.
Data Visualization and Analysis: Provides intuitive dashboards and visualizations to monitor key performance metrics, including lap times, speed, acceleration, and braking.
AI-Powered Insights: Integrates artificial intelligence to analyze historical data, identify performance trends, and provide actionable insights for improvement.
Key Benefits:
Enhanced Performance Analysis: Real-time data and visualizations enable immediate feedback and adjustments, leading to faster lap times and improved racing strategies.
Reduced Downtime: Eliminates the need for pit stops to retrieve data, maximizing track time and efficiency.
Cost-Effectiveness: Utilizes readily available, low-cost sensors, reducing reliance on expensive and maintenance-intensive in-car telemetry systems.
Lightweight Solution: Minimizes added weight to the vehicle, improving performance and handling.
Expanded Track Coverage: Works seamlessly on various tracks, including karting circuits not typically supported by traditional telemetry software.
RacingSync has been rigorously tested and validated in high-performance racing environments, including the Skip Barber Formula 2000 car and Margay Brava L206 kart. Its versatility and accuracy make it an acceptable tool for racers of all levels, from amateur karting enthusiasts to professional drivers. By harnessing the power of real-time data and AI, RacingSync enables drivers and teams to achieve their full potential on the track.
Driver Data Analysis
Leveraging LLMs fine-tuned on historical data, unlock hidden performance insights and gain a competitive edge.
Real Time Global Access
Access critical racing data anytime, anywhere, with a single cloud-based platform, with no need to stop the car or leverage traditional data storage technology.
Racing Sync Technical Specifications
Software:
Architecture: Web-based application with a responsive design for optimal viewing on various devices.
Front-End:
Framework: React.js
User Interface: Intuitive and user-friendly design with interactive data visualizations.
Accessibility: WCAG compliant for users with disabilities.
Back-End:
Language: Node.js
API: RESTful API for communication between front-end and back-end.
Data Processing: Python with libraries for sensor fusion, data analysis, and machine learning (e.g., Scikit-learn, Pandas).
Data Storage and Management:
Database: Xata for primary data storage and AWS S3 for data backups and archiving.
Data Pipeline: AWS services (e.g., AWS Lambda, AWS Kinesis) for real-time data ingestion and processing.
Data Security: TLS encryption for data in transit and encryption at rest for sensitive data stored in the database.
Connectivity:
Network: Utilizes cellular networks or a dedicated short-range Wi-Fi network for data transmission.
Device Compatibility: Compatible with iOS and Android smartphones with built-in GPS, accelerometer, and gyroscope sensors.
Hardware:
Wi-Fi Blaster (Optional): High-power Wi-Fi router for creating a dedicated short-range network at racing tracks with limited or no cellular coverage.
Other:
User Accounts: Secure user authentication and authorization system for managing user access and data privacy.
Data Visualization: Interactive charts and graphs for visualizing real-time and historical racing data.
AI Integration: Machine learning algorithms for analyzing driver performance, identifying trends, and providing personalized insights (future development).
Offline Mode: Ability to store data locally on the device when network connectivity is unavailable, with automatic synchronization when a connection is re-established.
These specifications provide a comprehensive overview of the RacingSync platform, highlighting its key features and technical capabilities. By combining web technologies, cloud infrastructure, and sensor fusion, RacingSync delivers a powerful and user-friendly solution for optimizing racing performance.
