S-0442
人工智能建築外牆檢測
Hong Kong, like other global cities, has many ageing buildings that need regular inspection and maintenance to ensure safety. The conventional manual approach to inspection of tall buildings is unsafe, time-consuming and costly. A novel automated drone-based inspection solution using AI is proposed. In this approach which is quantitative as opposed to the qualitative traditional method, a large number of high-resolution visual images are used to map the building envelope in detail. To store, process and analyse such data cloud computing and big data analytics tools are deployed. Custom-built AI models are used for defect detection and the generation of inspection reports. The solution reduces the complexity, time and cost associated with traditional building inspection process drastically.
城市管理
房屋
基礎設施
Building Inspection,Drone Survey
人工智能
雲端運算
數據分析
深度學習
機器學習
預測分析
影像分析
Big Data,Infrared Analytics
The proposed solution is designed to help in the management of a city like Hong Kong. Around one-third of the 42000+ buildings in Hong Kong is predicted to be older than 65 years by the year 2040. With the ageing of the buildings, the requirement of inspection and maintenance goes up. The risk of falling object incidence and other safety-related incidents also goes up. Raspect's inspection solution provides an efficient and lower-cost way of monitoring the condition of the building and taking necessary preventive maintenance action. For example, once the inspection of a building establishes the baseline of its condition, the same can be used to compare with subsequent inspection results automatically and diagnose changes in defects, addition/alterations, repair works etc. This can be an important part of the Mandatory Building Inspection Scheme implemented by the Hong Kong government in 2012 which calls for periodic inspection of buildings to ensure safety. This system can also help in mapping any city to locate the ageing buildings and classify them into safety-deficient, functionally-deficient, aesthetically-deficient or not-deficient categories. The timely inspection, identification of defects and overall condition of buildings can lead to predictive and preventive repair and maintenance. It is expected that with growing urbanization worldwide, implementation of such AI-powered digital technology will make built infrastructure safer, greener and smarter.
維視拍智能檢測有限公司
+852 9288 0454
Room 308, 3/F, InnoCentre 72 Tat Chee Avenue Kowloon Tong Kowloon, Hong Kong
若政府部門欲對創科方案進行PoC試驗或技術測試,請聯絡Smart LAB。