BINO, short for Bearing Inspector for Narrow-space Observation, is a tethered Unmanned Aerial Vehicle (UAV) system designed to carry out the inspection of rail viaduct bearings in narrow and difficult to access environments. It negates the need for time-consuming and dangerous in-person human visual inspections and resolves existing operation constraints, while enhancing inspection quality and improving efficiency and safety.
Design Team for BINO from Singapore University of Technology and DesignHow do you think your design has impacted users?
BINO enhances the safety aspect of the rail viaduct inspection operation by eliminating the need for a human to inspect the bearings at high heights. It also produces more accurate inspection results, while shortening the inspection operation time as compared to current methods. This is critical for determining the condition of the infrastructure used by millions of commuters each day.
These inspection results consist of key measurements extracted from the different bearing parts, to check if the measurements are beyond a certain threshold. The dimension extraction algorithm developed enables BINO to extract key measurements within millimetre resolution. Previously this was done using human-based manual visual inspection.
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