AI Implementation — Computer Vision
Site cleanliness checks are inconsistent and lack standardised criteria. Each field partner may interpret and report cleanliness differently, resulting in subjective assessments and data bias across sites and locations.
What we were asked to solve
Site cleanliness checks are inconsistent and lack standardised criteria. Each field partner may interpret and report cleanliness differently, resulting in subjective assessments and data bias across sites and locations.
The need
A standardised and objective mechanism to evaluate cleanliness at every site, capturing details of trash, vegetation, and access conditions consistently across all locations.
What we built and how we delivered
AI-powered computer vision establishes standardised rules for assessing cleanliness by analysing captured site images. The system automatically detects deviations such as debris, overgrown vegetation, or blocked entry points and applies uniform evaluation criteria across all locations.
OutcomesWhat changed for National Telco Infrastructure Operator
- Uniform cleanliness evaluation across every site
- Removed subjectivity from field reports
- Reliable data for prioritising corrective action and SLA
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