MyPressureManager - a Mass Market SmartPhone Tyre Pressure Technology Using Novel Active Machine Learning and co-operating devices for enhanced user experience.

2013年，我们成功地建立了轮胎磨损分析的机器系统，使机器能够对轮胎的道路适宜性做出复杂的决定。为了补充这一点，该项目研究了另一种用于确定轮胎压力的机器系统。该系统将为移动平台开发，用于告知司机正确轮胎气压的安全、经济和环境效益。数据将以无线方式传输到协作设备，以增强用户体验/历史分析。关键挑战是特征向量算法、机器学习、环境影响和软件性能。演示系统将展示在一系列场景中的操作。为了增强市场潜力，2011年售出了10亿个汽车轮胎(经合组织预计到2030年将售出15亿个)。不正确的轮胎压力会对适当的轮胎磨损和道路使用者安全造成负面影响。440万辆英国汽车至少有1个非法磨损的轮胎(TyreSafe)。10亿智能手机用户。在西方占50%。

In 2013 we successfully built a machine system for tyre-wear analysis, allowing, machines to make complex decisions about tyre road-worthiness. To complement it, this project investigates a further machine system for determining tyre pressure. This system will be developed for mobile platforms, and used to inform drivers about safety, economic, and environmental benefits of correct tyre pressure. Data will stream to cooperating devices wireless for enhanced user experience/historical analysis. Key challenges are, feature vector algorithm, machine learning, influence of environment, and software performance. A demo system will show operation in a range of scenarios. To reinforce market potential, 1bn car tyres sold in 2011 (1.5bn by 2030, OECD). Incorrect tyre pressure negatively affects proper tyre wear and road user safety. 4.4m UK cars have at least 1 illegally worn tyre(TyreSafe). 1bn smartphone users. 50% in the West.