Tower and Site Inspection from Drone and Field Photos

• Head of Network O&M
• Tower Asset Audit Manager
• Field Operations Manager
• Infrastructure Sharing and Tenancy Manager

Tower companies and operators inspect large site estates through preventive maintenance visits, tenancy audits and periodic drone surveys. Field engineers upload dozens of photos per visit, and someone at the NOC or audit desk has to look at each one to confirm antenna loading, spot corrosion and missing earthing or lightning arresters, and check that the photos really come from this site and this visit.

We build an inspection pipeline that takes photos from field-engineer apps and imagery from drone surveys, checks they belong to the right site and visit, and analyses them against your inspection checklist. Models detect and count antennas, RRUs and microwave dishes by mount position, and the counts are compared with tenancy records. Defect detectors flag corrosion, missing or damaged earthing strips, lightning arresters and aviation lamps, cable management problems, and site items such as fencing, DG sets and battery banks. Metadata and image similarity checks catch photos reused from earlier visits or taken elsewhere. Every finding comes with the annotated photo for an O&M engineer to confirm before any work order or tenancy query.

• Photo validity checks on GPS and timestamp against the site and visit, plus near-duplicate detection across visits
• Detection and counting of antennas, RRUs and microwave dishes by mount position
• Comparison of observed equipment with tenancy and billing records
• Defect detection for corrosion, missing earthing or lightning arresters, aviation lamp faults and cable issues
• Checklist completion scoring for preventive maintenance visits
• Annotated findings with severity for engineer confirmation and work order creation

1. 01Collect photos and imageryField-engineer photo sets and drone survey images are linked to the site and visit.
2. 02Validate the photosLocation, timestamp and uniqueness are checked; invalid sets are flagged for re-inspection.
3. 03Detect and count equipmentAntennas, RRUs and dishes are detected and counted by mount position.
4. 04Detect defects and score the checklistDefects are flagged with severity and the preventive maintenance checklist is scored.
5. 05Compare with tenancy recordsObserved equipment is compared with what each tenant is billed for.
6. 06Engineer review and actionEngineers confirm high-severity and low-confidence findings individually, the O&M lead signs off the rest, and work orders or tenancy queries are raised.

1. Capture
   • Field engineer app uploads
   • Drone survey imagery
   • Site master with coordinates and tower type
2. Validation
   • GPS and timestamp checks
   • Near-duplicate image index across visits
3. Vision models
   • Equipment detector and counter
   • Defect detectors
   • Checklist scorer
4. Rules and review
   • Tenancy record comparison
   • Severity rules
   • Engineer review screen
5. Integration
   • Work order creation in the O&M system
   • Asset register update
   • Site health dashboards

Engineers review every high-severity or low-confidence finding on the annotated photo, and the O&M lead signs off lower-severity findings in batches before work orders are raised. Tenancy discrepancies go to the commercial team for verification before any billing query reaches a tenant.

• Field force or O&M mobile app
• Asset management or ERP such as SAP PM or IBM Maximo
• Drone survey platforms and image storage
• Ticketing or work order system
• GIS for site locations

• No work order closed and no billing changed automatically
• Confidence thresholds set per defect type and reviewed with engineers
• Models evaluated on a held-out set of your own site photos before each update
• People in photos blurred before storage
• Every finding linked to the original, unedited image

• Drone surveys must follow India's Drone Rules, 2021 for airspace zones and permissions; the pipeline only processes imagery you capture.
• Site photos can capture people nearby; blurring and retention limits are designed to support DPDP Act 2023 data minimisation.

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