AI Image-Based Inspection

Predictive Maintenance for Energy utility company

Problem:

Electricity tower inspection for maintenance is a dangerous, expensive, and time-consuming process for utility companies. An energy utility company’s requirement is an automated and integrated platform for finding defects from inspection images.

Solution:

  • Images are captured using drones for Transmission and Distribution (T&D) assets
  • Images are ingested and pre-processed by the application
  • AI/ML driven image-based inspection solution automates defect detection from uploaded images
  • GUI is used for visualization and analysis
  • HITL process assesses model performance and runs re-training

Benefits:

  • Automated Manual Inspections fast-tracks maintenance
  • Data-management strategies to save time and money
  • Helps protect assets and increase safety across utility organization
  • Efficient traffic monitoring and decision making
  • Reduced cost

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