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Autonomous cranes based on computer vision and AI to increase productivity and safety on construction sites

Project description

Smart lift for construction site productivity and safety

Cranes are a staple in any construction site – from mobile cranes and truck-mounted cranes to crawler cranes and hammerhead cranes. Whatever the type, cranes are the main bottleneck at a construction site and the largest source of fatal accidents. The EU-funded AUTOSITE100 project is using AI to develop an autonomous crane system that will improve efficiency (increase productivity by 30 %) and boost safety. This new patented technology combines computer vision, AI (deep learning), machine learning techniques and aerospace algorithms with off-the-shelf hardware. The overall aim is to transform current cranes into high-efficiency autonomous cranes, providing decision-making tools for the management team.

Field of science

  • /social sciences/economics and business/economics/production economics/productivity
  • /natural sciences/computer and information sciences/artificial intelligence/computer vision
  • /natural sciences/computer and information sciences/artificial intelligence/machine learning/deep learning

Call for proposal

H2020-SMEInst-2018-2020-1
See other projects for this call

Funding Scheme

SME-1 - SME instrument phase 1

Coordinator

INTSITE LTD
Address
Shimshon 46/1
3467815 Haifa
Israel
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EU contribution
€ 50 000