Increase construction productivity using 3D computer vision & BIM to automate project progress and quality reporting.

“12万亿美元的建筑业占全球GDP的15%，但却是生产率最低、数字化程度最低的行业之一。这造成了数十亿美元的成本超支，延迟了行业规范，导致每年数万亿美元的浪费。其中一个关键驱动因素是破碎的进度和质量报告过程。目前，关键信息到达关键利益相关者需要4到8周的时间。这导致了大量的返工和低生产率，大大增加了项目进度、成本和范围风险。该项目旨在开发一种人工智能解决方案，以衡量大型房地产和基础设施项目的施工进度。基于高质量的3D现实捕获数据和先进的机器学习技术，该原型将实时洞察项目绩效、生产力和风险。这将使项目业主、承包商和投资者能够改进短期规划，并做出及时、准确的决策，从而改变生产力、进度和成本效益。自动化和可靠的报告还将为所有项目利益相关者建立“一个真相来源”，从而实现一系列其他应用。该项目由总部位于伦敦的深度技术初创公司Contilio、伦敦大学学院土木、环境和地理工程系以及行业合作伙伴共同开展。它与英国政府建设战略的目标是一致的，并与整个BIM过程联系在一起。”

"The $12Tn construction industry contributes to 15% global GDP, but is one of the least productive and digitized sectors. This makes billion-dollar cost overruns and delays the industry norm and results in trillions getting wasted every year. One of the key drivers is the broken progress and quality reporting process. Currently, it takes 4 to 8 weeks for critical information to reach key stakeholders. This results in major rework and low productivity, adding significantly to project schedule, cost and scope risks.This project aims to develop an AI-enabled solution to measure construction progress for large property and infrastructure projects. Based on high-quality 3D Reality Capture data and using advanced machine learning techniques, the prototype will give real-time insights on project performance as well on productivity and risks. This will enable project owners, contractors and investors to improve short term planning and make timely and accurate decisions, transforming productivity, schedule and cost performance. Automated & reliable reporting will also establish ""one source of truth"" for all project stakeholders, enabling a range of other applications.This project is conducted by Contilio, a London-based deeptech startup, the Department of Civil, Environmental and Geomatic Engineering, University College London together with industry partners. It is aligned with the objectives of the UK Government Construction Strategy and ties into the overall BIM process."