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Degould Auto-Scanner AI: intelligent image analysis system for vehicle inspection

Degould Auto-Scanner AI: intelligent image analysis system for vehicle inspection
Degould Auto-Scanner AI:车辆检测智能图像分析系统
批准号:
105705
负责人:
金额:
$44.41万
依托单位:
依托单位国家:
英国
项目类别:
Study
财政年份:
2019
资助国家:
英国
项目状态:
已结题
起止时间:
2019 至 --

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中文摘要
翻译
DeGould是一家屡获殊荣的创新型工程公司,专注于车辆图像的捕获和数字化,以支持整个汽车供应链的损坏责任分配。他们希望显著增强现有的成像系统,并将其发展为用于车辆质量评估的智能检测技术。该项目旨在开发一种基于人工智能(AI)的创新技术,以改善他们的服务,并创造新的产品。Auto-Scanner AI将使用已开发的AI技术,应用于更轻的框架,更实惠的“驱动器通过”硬件解决方案,使Degould能够扩展其产品并为汽车租赁业务创造价值。DeGould拥有强大的开发团队,合适的合作伙伴关系以及解决方案在现有客户中的强大市场吸引力(原始设备制造商/邮政),但也密切接触和兴趣,从租赁企业表示明确需要这种创新。DeGould最初计划安装自动-英国OEM的紧凑型产品,用于对照传统质量控制技术测试系统的能力和性能。由于最近的全球环境,新车行业今年面临着重大问题,并将在未来几个月继续面临这些问题。这导致拟议的合作伙伴不再能够在Innovate UK项目的时间轴中安装DeGould系统。因此,DeGould希望将该项目的测试阶段转移到二手车行业,并在Smart Fleet Solutions工厂进行测试。这将与拟议的OEM之一具有类似的吞吐量,但由于二手车行业的性质,我们收集的数据将在损坏数据方面更加丰富,这将大大有助于用于单个图像的机器学习和AI算法。
英文摘要
DeGould is an award-winning innovative engineering company focused on capture and digitalisation of vehicle image to support damage liability assignment throughout the automotive supply-chain. They are looking to significantly enhance their current imaging system and develop it into an intelligent inspection technology for vehicle quality assessment. This project aims to develop an innovative Artificial Intelligence (AI) based technology to improve their service offering, as well as create a new product offer. The Auto-Scanner AI will use the developed AI technology, applied in a lighter-frame, more affordable and "drive through" hardware solution, enable Degould to expand its offer and create value to car rental businesses.DeGould has a strong development team, the right partnerships in place and strong market pull for the solution both from their current clients (OEMs/Posts) but also close contact and interest from rental businesses that expressed a clear need for this innovation.DeGould initially planned on installing the Auto-Compact product at a British OEM to test the capability and performance of the system against the traditional quality control techniques. Due to recent global circumstances the new car industry has faced major issues this year and is continuing to do so in the coming months. This has led to the proposed partners are no longer able to install the DeGould system in the timeline of the Innovate UK project. DeGould therefore wishes to transfer the testing phase of the project to the used car industry and test at Smart Fleet Solutions facility. This will have a similar throughput to one of the proposed OEM's but due to the nature of the used car industry the data we collect will be richer in damage data which will significantly help the machine learning and AI algorithms which are used on the individual images.
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  • 批准号:
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  • 项目类别:
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