BRYX

Power Pole Equipment Detection

This model generates annotated images to view and download as well as a spreadsheet that lists the equipment detected, the model’s confidence level for each detection, the total number of equipment found, and more.

40 credits (with a subscription)

80 credits (without a subscription)

Version 1.0
Free Trial available!
PowerPoleEquipmentVision
Power Pole Equipment Detection
Powerful Computer Vision
This machine learning model uses object detection to detect and classify equipment installed on power poles.
Use Case
Ideal for integration with a construction site camera for advanced analytics, this model produces results that can help optimize safety training and respond to safety audits.
Fast Analysis
This model detects a variety of equipment that is typically found on power poles, including:
  • Animal Guards
  • Arrestors
  • Bracket Poles
  • Crossarms, including:
    • Crossarm Brackets
    • Crossarm Double Wood
    • Crossarm Fiberglass
    • Crossarm Steels
  • Fuses, including:
    • Fuse Loadbreaks
    • Fuse Tripsavers
  • Insulators, including:
    • Bell Insulators
    • Pin Insulators
    • Polymer Insulators
    • Porcelain Insulators
  • Lights, including:
    • LED Lights
    • Light Floods
    • LV Risers
  • Overhead Transformers (Oh Tx)
  • Spools
mAP Score
Power Pole Equipment Detection: 63%

Required Inputs

  • PNG, JPG, or JPEG files

Note: This model is trained on ground view imagery, looking up at an approximately 45 degree angle.

Expected Outputs

  • Annotated images
  • A summary report in XLSX format
BRYX

The Power Pole Equipment Detection model analyzes utility pole images, classifying the equipment detected on the pole. Model results are an excellent source for asset inventory and training purposes.