AI Implementation — OCR
Field technicians often capture avometer readings manually, leading to input errors, inconsistent reporting, and time-consuming verification.
What we were asked to solve
Field technicians often capture avometer readings manually, leading to input errors, inconsistent reporting, and time-consuming verification.
The need
An automated way to extract and record avometer readings directly from captured images — accurate, standardised, and immediately available for analysis without manual transcription.
What we built and how we delivered
AI-powered OCR automatically reads and digitises avometer values from photos taken in the field. The system validates captured readings against expected ranges, reducing human error, ensuring consistent reporting, and speeding up data collection.
OutcomesWhat changed for National Telco Infrastructure Operator
- Avometer readings digitised at capture, no manual transcription
- Out-of-range readings flagged automatically
- Foundation for preventive maintenance analytics
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