QRacing

QRacing is a product developed by Qstarz International Co., Ltd. It is a motorsports data analysis system that combines GPS technology with racing analysis software.

The main features of QRacing include lap time analysis, acceleration analysis, speed analysis, track mapping, video overlay, and comprehensive data visualization.

QRacing uses a GPS receiver to track vehicle movement and records various data points related to the racing performance. This data is then analyzed and visualized through the QRacing software to provide valuable insights for drivers and teams.

QRacing can be used in various racing disciplines including car racing, motorcycle racing, karting, rallying, and more. It is designed to cater to the needs of both professional racers and motorsports enthusiasts.

QRacing provides its own proprietary software for data analysis. However, it also supports export of data in common file formats such as CSV and GPX, which can be imported into other racing analysis software if desired.

Yes, QRacing supports multi-vehicle tracking. It can simultaneously track and analyze data for multiple vehicles on a shared track, enabling comparison and evaluation of performance between different vehicles or drivers.

No, QRacing operates offline. The GPS receiver records data during the racing session, and the analysis and visualization are performed locally on the user's computer using the QRacing software.

QRacing utilizes high-precision GPS receivers capable of capturing accurate positioning, speed, and altitude data. These receivers are designed specifically for motorsports applications to ensure reliable and precise data collection.

QRacing can be used on a wide range of race tracks. It supports both permanent circuits and temporary tracks. However, it's always recommended to check the compatibility and availability of track data before using QRacing on a specific race track.

QRacing helps drivers and teams improve their performance by analyzing different aspects of racing data. It provides insights into lap times, sector analysis, acceleration patterns, speed profiles, and more, allowing racers to identify areas for improvement and make data-driven decisions for better results.