RAST (Road & Roadside Asset Smart observation Technology) is Fedasen’s advanced solution built on top of the Fedasen Intelligent Road Analyser (FiRA), designed to deliver intelligent, state-of-the-art road and roadside asset data collection, pavement defect identification, and condition assessment. It combines AI-powered software with a compact hardware setup that can be easily mounted on any standard vehicle—no technical modifications required. The equipped vehicle operates seamlessly within normal traffic flow, eliminating the need for special traffic control or restrictions.

RAST captures high-resolution imagery of road surfaces, carriageway lanes, line markings, roadside signs, and kerbside structures. Using sophisticated AI models, it detects and classifies both point and linear assets, calculates their precise geographic location and dimensions, and evaluates their serviceability condition. The same technology is applied to identify and assess a wide range of pavement defects and deformations, analysing their severity and potential hazard levels.

To enhance coverage and accuracy, RAST also incorporates aerial imagery captured by drones, enabling multi-modal data fusion. Additionally, it intelligently detects kerb gaps and combines visual patterns to identify driveways, ensuring comprehensive asset mapping and condition analysis across diverse urban environments.