AI Hauling Rope Condition Monitoring System

I&T Solution AI Hauling Rope Condition Monitoring System
(REF: S-1269)
Trial Project
Solution Feature
  • Real-time monitoring of hauling rope with high-speed cameras
  • Convolutional Neural Network (CNN) AI model trained to classify multiple types of rope conditions or abnormalities
  • Mobile app notification to alert staffs
  • Live view of cameras and detection logs on web-based management portal
  • Handle different weather conditions
Trial Application and Expected Outcome
  • Install high speed cameras and lighting to capture different types of abnormalities, wear and tears/conditions of hauling cable
  • Work with domain experts to identify and extract training images into different abnormality classes and start training CNN AI model
  • Evaluate AI model performance and iterate with additional training data to make the AI model converge
  • Apply AI model to real-time system and evaluate performance
  • Additional rounds of model refinement training might be needed to create an AI model that can achieve high accuracy and low false positive rate
Additional Solution Information hampen_tram_cable_monitor.pdf
Info on I&T Solution Provider
Solution Provider:Hampen Technology Corporation Limited
Address:907G, 9/F, Block B, Hong Kong Industrial Centre, 489 Castle Peak Road,  Lai Chi Kok, Kowloon.
Contact Person:Felix Chow
Position:CEO
Tel:91863684
Email: fchow@hampentech.com
Webpage: www.hampentech.com

For details of the above I&T solution, please contact the I&T solution provider.