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White paper
90 days to automate the quality control of your field operations with computer vision

This guide presents a 90-day plan for telecom and utility operators to automate field quality control using computer vision, tackling typical challenges and providing practical solutions for successful adoption. 

Key areas discussed include:

  • Establishing clear quality control objectives
  • Building and utilizing a robust photo dataset
  • Designing a user-friendly data collection interface 
  • Iterative development and training of AI models

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This guide shows how following a clear, step-by-step process can help teams adopt automated quality control, leading to greater accuracy and efficiency in the field by leveraging advanced computer vision and AI.

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