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AI that reads tower progress from a photograph

Transparent, image-based validation of telecom infrastructure development in remote and hard-to-reach regions.

The problem

Verifying construction progress at remote sites meant sending someone, or trusting the report.

What we delivered

01Field engineers upload site images from mobile; the model classifies what it sees
02Detects foundation presence, tower erection stage and installed equipment, and estimates tower height
03Site-wise progress visualised centrally, flagging incomplete or non-compliant sites

What the model reads

Field engineers upload site photographs from mobile. The model detects plinth and foundation presence, classifies tower erection stage, identifies installed equipment — antennas, RRUs, cabling — and estimates tower height.

Why it matters at these sites

The sites are remote and hard to reach, so the alternative to image-based validation is a site visit or a trusted report. Central monitoring shows site-wise progress and flags incomplete or non-compliant sites.

What changed

Progress is validated against the photograph, so milestones move on evidence.

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