人工智能+工具方案目錄

Traditionally, infrastructure assessments rely on manual visual inspections that are slow, labour-intensive, and often conducted under hazardous conditions. Because these inspections depend heavily on human judgement, results are inconsistent and incomplete, making it difficult to accurately understand infrastructure conditions. This uncertainty leads to inefficient maintenance planning, delayed interventions, and the inefficient use of public resources.

Developed entirely in Hong Kong by a team of young local professionals, the Intelligent Infrastructure Assessment System (iIAS) provides a smarter alternative. By integrating advanced hardware, artificial intelligence, and proprietary algorithms, iIAS enables faster, safer, and more accurate infrastructure assessments, helping governments better understand asset conditions and manage infrastructure more effectively. Establishing a new global benchmark for smart city innovation, iIAS makes travel safer, smoother, and more intelligent for all.

The iIAS ecosystem comprises several specialised systems, each targeting different types of infrastructure. Each system is designed to operate as a fully standalone, self-contained platform.

· iPAS (Intelligent Pavement Assessment System) · iTAS (Intelligent Tunnel Assessment System) · iRAS (Intelligent Railway Assessment System) · iBAS (Intelligent Bridge Assessment System) · iAAS (Intelligent Architecture Assessment System)

The Intelligent Pavement Assessment System (iPAS) is a key system within the iIAS ecosystem and. To date, iPAS has successfully assessed over 5,000 km of roads across the city.

iPAS is also the winning solution of the 2025 Hong Kong ICT Awards – Smart Mobility (Smart Transport) Gold Award, an honour recognised by the Hong Kong SAR Government.

With fully self-developed hardware, AI algorithms, and software, iPAS integrates data collection, analysis, and decision-making into a seamless, one-stop solution. This enables comprehensive, data-driven "Road Doctor" assessments, supporting smarter, more efficient road maintenance.