Auto-compact: AI-powered quality control system for automotive OEMs and Finished Vehicle Logistics (FVL) operators

Auto-compact：面向汽车原始设备制造商和整车物流 (FVL) 运营商的人工智能质量控制系统

• 批准号: 83003000
• 金额: $ 210.24万
• 依托单位: DEGOULD LIMITED
• 依托单位国家: 英国
• 项目类别: Innovation Loans
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=83003000
• 关键词: Auto; compact; AI; powered; quality

DeGould Limited is a privately held British engineering company whose mission is to deliver market-leading automated digital vehicle inspections. Today, DeGould has automated vehicle inspection solutions installed with leading OEMs and supply chain partners globally. These solutions include the flagship Auto-scan booth, as well as DeGould's latest product addition, Auto-compact. The Auto-compact booth is the ultimate digital vehicle inspection; combining industry 4.0 connectivity, ultra-high-resolution image capture and the latest AI damage detection condensed into a small hardware footprint. Ultra-high-resolution images of the vehicle are captured and bespoke ML algorithms detect even the smallest of damage and identify any specification errors. This allows OEMs or FVL partners to repair the damage or correct the specification before the vehicle enters the downstream logistics chain. The benefit for the customer is the reduction in labour through automation (while also increasing accuracy) and the reduction in warranty claims. Case studies have demonstrated a payback of as little as 6 months. This project is anticipated to deliver transformative effects for DeGould by generating a step change in revenues, enabling team growth and allowing further investment in cutting edge technology. DeGould's innovative solutions will benefit the UK economy through extensive export opportunities with DeGould's global customer base.

DeGould Limited是一家私人控股的英国工程公司，其使命是提供市场领先的自动化数字车辆检测。如今，DeGould已为全球领先的OEM和供应链合作伙伴安装了自动化车辆检测解决方案。这些解决方案包括旗舰自动扫描展台，以及DeGould的最新产品，自动紧凑。Auto-compact展台是终极的数字车辆检测;将工业4.0连接、超高分辨率图像捕获和最新的AI损坏检测浓缩到一个小的硬件足迹中。车辆的超高分辨率图像被捕获，定制的ML算法可以检测到即使是最小的损坏，并识别任何规格错误。这使得OEM或FVL合作伙伴能够在车辆进入下游物流链之前修复损坏或纠正规格。对客户的好处是通过自动化减少劳动力（同时也提高了准确性）和减少保修索赔。案例研究表明，回报期短至6个月。该项目预计将通过产生收入的阶跃变化，实现团队增长并允许对尖端技术的进一步投资，为DeGould带来变革性影响。DeGould的创新解决方案将通过DeGould全球客户群的广泛出口机会使英国经济受益。