EOT Crane Hook Movement Monitoring and Tracking

This proposal outlines the technical, operational, and commercial framework for the implementation of an advanced computer vision-based solution for the monitoring and tracking of EOT (Electric Overhead Traveling) crane hook movements.

A high-resolution camera captures the EOT crane hook's video feed, which is processed by a nearby computer vision module to detect and track the hook in real-time. Motion data and detected events are sent to a server for historical logging. An analytics engine analyzes the data to identify trends, calculate KPIs, detect anomalies, and trigger alerts. A reporting dashboard provides visual insights, while optional integrations support alarms and maintenance systems. A mobile app delivers real-time alerts to crane operators.

facility

Key Features :

  • Real-Time Data Analysis: Delivers instant feedback on operational deviations.
  • Predictive Maintenance: Flags potential system issues before they escalate.
  • Customizable Dashboards: Tailored insights for pilots, engineers, and management.
  • Advanced Analytics & Trends: Visualizes key performance metrics for better decision-making.
  • Regulatory Compliance Reporting: Simplifies adherence to aviation standards.

With its seamless integration capabilities and focus on efficiency, safety, and cost management, the Performance Monitoring Software is a transformative solution for the aviation industry.