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Development and implementation of an AI backed hum ...
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The paper describes the development and field trials of an AI-backed human-detection safety system for piling rigs and cranes, designed to reduce the risk of workers being struck by moving plant. This remains a major construction hazard, particularly around specialist geotechnical machinery, where restricted visibility and tasks requiring people to work near equipment make full separation difficult.<br /><br />The authors trace safety measures from reversing and winch cameras, through 360-degree camera systems and passive object alerts, to the latest CSS Live system developed by Cementation Skanska and Spillard Safety Systems. Its cameras provide a 360-degree view, while AI identifies people and objects in configurable exclusion zones. Entry into an amber zone triggers alerts; entry into a red zone also automatically stops high-risk movements such as tracking or slewing. Operators and nearby workers receive visual and audible warnings.<br /><br />Trials identified practical challenges, including false alarms from items such as high-visibility clothing, nearby vehicles, or dirty camera lenses. System integration varies across machine manufacturers, and unexpected stops can create risks in some situations, such as travelling on a ramp. Camera use and footage storage also require data-protection procedures. Site feedback and testing have informed refinements to zone design, controls, and operating procedures.<br /><br />The system has reportedly helped prevent potential incidents and encouraged safer behaviours, with no human–plant safety incidents recorded on projects using it in 2024. However, the authors stress that it is a secondary safeguard—not a replacement for competent banks persons, physical barriers, training, and continued vigilance.
Keywords
AI human-detection
construction safety
piling rigs
cranes
worker strike prevention
360-degree cameras
exclusion zones
collision avoidance
site safety
Cementation Skanska
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