Technical

Explore 5 core applications of AI vision and inspection systems for overhead cranes, covering safety monitoring, personnel intrusion detection, load positioning, and SLAM

Enhance overhead crane control with a visual SLAM-based mapping and positioning system for accurate crane positioning, improved safety, and reliable operation in industri

Deep learning-based weld defect recognition for crane rail and main girder seams, detecting cracks, incomplete penetration, and porosity in real time.

Real-time AI vision inspection system for crane wire rope using deep learning to identify broken wires, wear, and corrosion defects. Boost safety and traceability for ove

Explore YOLOv8-based load detection and vision-guided positioning for overhead crane control systems, improving hoisting accuracy and repeat positioning in industrial lif

Implement AI-powered visual safety monitoring for overhead cranes to detect personnel intrusion in hoisting areas and prevent collisions. Explore engineering practices fo

Explore standardized power distribution and assembly practices for overhead crane control cabinets, covering electrical system integration, safety brake control, and prot

Explore real-world engineering practices for overhead crane communication systems using 5G private networks, WiFi 6, and PROFINET for reliable real-time control and monit

Explore the engineering practice of overhead crane smart gateway and edge computing for OPC UA data acquisition and protocol conversion, enabling seamless SCADA integrati

Explore the engineering practice of an overhead crane safety control system featuring SIL3 dual brake and PROFIsafe architecture, designed for reliable hoisting and braki