Snap4Quote™ - a smartphone sensing and imaging platform, which connects customers to rated garages for quotes on repair work using a “Snap, Share, Repair™” process.

Snap4Quote™ - 一个智能手机传感和成像平台，它使用“快照、共享、维修”流程将客户与评级车库连接起来，获取维修工作报价。

• 批准号: 131976
• 金额: $ 2.94万
• 依托单位: PRE CHASM RESEARCH LIMITED
• 依托单位国家: 英国
• 项目类别: Feasibility Studies
• 财政年份: 2015
• 资助国家: 英国
• 起止时间: 2015 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=131976
• 关键词: Snap4Quote; smartphone; sensing; imaging; platform

Smartphones have extended Global Positioning System (GPS) capabilities, Micro Electro Mechanical System (MEMS) inertial sensors, powerful computing and very high res cameras (>13MegaPixel). We aim to demonstrate feasibility of using on-board sensors and imaging capability of smartphones to scan dents, chips and scratches in car bodywork, and use that data to produce photogrammetric 3D full colour models that can be used for remote quoting purposes by Repair Centres. Demand: Every 4 seconds, a bodywork dent is repaired in UK. Problem: Time and convenience. Preparing a bodywork quote takes on average 4.4 hrs (Audatex, 2014). To obtain a fixed quote, customers need to visit a garage. Alternatively, garage owners visit customers, usually after normal working hours. Some employ mobile teams, increasing their cost base. No automated remote quoting technology exists. Addressable market: 3.8million dents jobs completed/year in UK. 135m completed in the EU and USA. Result: a $50+billion industry (ABPC, 2014). Key challenges: feature recognition, spatial accuracy, influence of environment (reflection, shaddows, etc).

智能手机具有扩展的全球定位系统（GPS）功能、微机电系统（MEMS）惯性传感器、强大的计算能力和非常高分辨率的相机（> 13兆像素）。我们的目标是证明使用车载传感器和智能手机的成像能力来扫描车身上的凹痕、碎片和划痕的可行性，并使用这些数据来生成摄影测量3D全色模型，这些模型可用于维修中心的远程报价。需求：在英国，每4秒钟就有一个车身凹痕被修复。问题：时间和便利。准备车身报价平均需要4.4小时（Audatex，2014）。要获得固定报价，客户需要访问车库。或者，车库业主通常在正常工作时间之后拜访客户。有些公司雇用了移动的团队，增加了成本基础。不存在自动远程报价技术。目标市场：在英国每年完成380万个凹痕工作。在欧盟和美国完成了135米。结果：一个500多亿美元的产业（ABPC，2014）。关键挑战：特征识别，空间精度，环境影响（反射，阴影等）。