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

图像识别技术使新冠疫情后个人交通的未来成为可能

• 批准号: 86288
• 金额: $ 12.44万
• 依托单位: CAPTUR LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=86288
• 关键词: Image; recognition; technology; enable; future

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.

2019冠状病毒病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形式的个人交通工具，以应对释放公共交通空间和实现社交距离的需求。4月份自行车销量飙升了60%，政府的回应是在国家一级投资超过2亿英镑用于各种未来的交通计划。在地方层面，理事会正在试行新的低交通量社区计划，并对微型交通运营商进行招标。成功采用替代交通形式，特别是共享和微型交通，需要立即在软件，硬件和基础设施方面进行创新，以建设未来的城市，并鼓励新的市场进入者。共享出行公司进入和发展的一个重要障碍是车辆维护的巨大运营成本，占每次出行成本的10%，单个运营商每年估计为450万美元（Bird年度报告）。另一方面，从用户的角度来看，采用共享出行的障碍是担心潜在的成本以及缺乏透明度，如果他们确实损坏了车辆或被错误收费。在一项针对2,000多名英国出租车司机的研究中，近三分之一的人没有意识到他们必须支付高达租赁协议超额金额的损失费用。此外，遗留在道路或人行道上的损坏车辆更令人担忧，尤其是残疾人群体对城市街道的无障碍性。在该项目中，Captur将开发独特的图像识别算法，可以自动识别车辆的损坏，并确定损坏是否在合理磨损准则范围内。建立一个公正一致的第三方系统来诊断车辆损坏。主要目标是帮助Covid 19后新形式的个人交通工具的采用和快速市场增长。从长远来看，这项创新还具有延长微型移动车辆的平均寿命、可持续性和可达性的潜力。