An online technical session on detecting telecommunications towers in satellite imagery with machine learning. The program explains data labeling, model training and inference, and how improved infrastructure data can support connectivity planning and capacity building.
When
Sep 15, 2026
Where
Online event
Attendance
Virtual
Status
scheduled
Event type
Webinar · Published by organizer
Registration
See the organizer for current access, pricing and registration details.
This session introduces how ITU/BDT/DNE/FNS is applying machine learning (computer vision) to improve the availability and quality of ICT infrastructure data by detecting telecommunication towers from satellite imagery. Participants will see the end-to-end workflow (data labeling → model training → inference), learn how the work is being advanced with partners (including KAUST), and discuss how the resulting data and capacity-building approach can strengthen ITU/BDT connectivity programmes and country support. Session ObjectivesBy the end of this session, participants will be able to:A clear understanding of the problem in getting global connectivity, addressing: gaps in reliable tower/infrastructure data for network planning and gap analysis.A practical view of the tower-detection pipeline: image collection and annotation, ML model training, and inference to extract tower locations.Awareness of the supporting tools developed for demonstration and training (labeling tool and tower detector app) and how they can be used in capacity-building contexts.An overview of how partnerships (e.g., KAUST) contribute to model improvement, scaling, and knowledge transfer.A shared discussion on how improved infrastructure data and AI-enabled workflows can feed into ITU/BDT programmes (planning, measurement, and implementation support) and where to pilot next.
partial: All verifiable upcoming-edition names on the inspected page were extracted. This is not a claim that the final event roster is complete. Reviewed 2026-09-12T19:13:04.362Z.
sponsors
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exhibitors
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attendees
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agenda
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Sources
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Published timeframe: 14:00–15:00 CEST, Geneva. Physical geography remains null for online participation. Exact timezone remains unknown; source timezone display alternatives are not event venues. Session local day: the published single-day event page groups these agenda items/talks on 2026-09-15. Exact times remain unknown where timezone labels are unresolved.