Image recognition technology to enable the future of personal transportation post Covid19

Covid19大流行导致了一系列持久的生活方式变化，包括大规模采用替代的个人交通工具，以应对在公共交通上腾出空间和实现社会距离的需要。自行车销量在4月份猛增了60%，政府的回应是在国家层面上投资超过2亿GB用于未来的各种交通计划。在地方层面，市议会正在试行新的低交通邻里计划，并公开招标微型移动运营商。成功采用替代交通形式，特别是共享和微型移动，需要立即在软件、硬件和基础设施方面进行创新，以建设面向未来的城市，并鼓励新的市场进入者。共享移动公司进入和发展的一个重大障碍是车辆维护的巨额运营成本，相当于每次旅行成本的10%，单个运营商每年的成本估计为450万美元(Bird年度报告)。另一方面，从用户的角度来看，采用共享移动公司的一个障碍是担心潜在成本，以及如果车辆确实损坏或收费错误，缺乏透明度。在一项对2000多名英国出租车司机进行的研究中，近三分之一的人没有意识到他们必须支付高达租赁协议上多出的金额的损害费用。此外，被遗弃在道路或人行道上的受损车辆对城市街道的可达性造成了更大的担忧，特别是对残疾人群体。在这个项目中，Capture将开发独特的图像识别算法，可以自动识别车辆的损坏情况，并确定损坏是否在合理的磨损准则之内。建立一个公正和一致的第三方系统来诊断车辆损坏。其主要目标是帮助采用和快速增长新形式的个人交通工具邮编19。从长远来看，这项创新还有可能延长微型移动车辆的平均寿命、可持续性和可达性。

The Covid19 pandemic has caused a series of lasting lifestyle changes, including the mass adoption of alternative forms of personal transport in response to the need to free up space on public transport and enable social distancing. Bike sales spiked in April by 60% and the government has responded by investing over £200 million in various future transportation schemes at a national level. At a local level, council's are piloting new Low Traffic Neighbourhood schemes and opening up tenders for micro mobility operators.The successful adoption of alternative forms of transportation, specifically shared and micro mobility, requires immediate innovation across software, hardware, and infrastructure to build cities for the future and encourage new market entrants. A significant barrier to entry and growth for shared mobility companies is the huge operational cost of vehicle maintenance, representing 10% of the cost per trip and an estimated $4.5 million annually for a single operator (Bird annual report).On the other hand, a barrier to adoption from a user perspective is the fear of the potential costs and lack of transparency if they do damage a vehicle or are wrongly charged. In one study of over 2,000 UK hire car drivers, almost a third don't realise they have to pay damage costs up to the excess amount on their rental agreement. Furthermore, damaged vehicles left on roads or sidewalks cause an even greater concern for the accessibility of city streets, especially for disabled groups.In this project, Captur will develop unique image recognition algorithms that can automatically identify damage to vehicles and determine whether or not that damage is within fair wear and tear guidelines. Resulting in an impartial and consistent third party system to diagnose vehicle damage.The key objective is to aid in the adoption and rapid market growth of new forms of personal transportation post Covid19\. Long term, the innovation also has the potential to extend the average lifetime, sustainability, and accessibility of micro mobility vehicles.