MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202541131864 A) filed by Kit-Kalaignar Karunanidhi Institute Of Technology, Coimbatore, Tamil Nadu, on Dec. 26, 2025, for 'multi-agent ai safety orchestration system for predictive failure prevention and load control in industrial cranes.'
Inventor(s) include Dr. Shriram K V; Dr. Vimal S; Subashri V; and Sini Raj Pulari.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "The titled invention discloses a multi-agent Al safety orchestration system for predictive failure prevention and load control in industrial cranes. Each crane is equipped with an embedded local Al safety agent (1) that continuously monitors multi-sensor (3) inputs including load, tension, vibration, temperature, motor current, and visual data. These agents perform real-time machine-learning inference at the edge to detect early signs of mechanical stress, imbalance, or rope fatigue. A central orchestrator agent (2) aggregates risk scores, evaluates cross-crane dependencies, and coordinates preventive actions such as controlled halts, load redistribution, or emergency braking. The system employs federated learning to update models across cranes while preserving data privacy, reinforcement learning to refine decision policies, and explainable Al to provide transparent reasoning for operator trust and regulatory compliance. Through distributed intelligence, autonomous control, and collaborative learning, the invention enhances crane safety, reduces downtime, and improves operational efficiency within smart manufacturing environments."
Disclaimer: Curated by HT Syndication.
