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A global leader in telecommunications and digital infrastructure was engaged by a utility provider to modernize its electricity distribution network. The project's objective was to use Al and computer vision to automatically detect and classify components installed on electricity poles. This required preparing high-quality annotated datasets from drone-captured 360° images and videos of poles.
This required preparing high-quality annotated datasets from drone-captured 360° images and videos of poles.
VertexPlus Technologies Limited was chosen as a strategic delivery partner to execute large-scale digital twinning, component tagging, and validation, ensuring Al model readiness.
The project encompassed validation of elements from utility poles (10-15 items per pole) with precise latitude/longitude coordinate capture, delivered through systematic methodology with Service Time Metric of 9 minutes and average validation time per pole s 9 minutes with 98%+ accuracy requirements
Thousands of poles needed to be analyzed and validated within fixed timelines.
Images and videos varied in angle, lighting, and clarity.
The same components (wires, transformers, insulators, etc.) looked different across poles and regions. Without accurate annotations, AI would not have been able to recognize them consistently.
Multiple stakeholder coordination and precise documentation requirements demanded systematic approach to quality assurance.
KPI adherence
SLA monitoring
Work Completion Certificates (WCC)VertexPlus designed a scalable, SLA-driven delivery model that combined technical accuracy, resource management, and quality control.
Leveraged Client's Platform for structured pole validation and tagging.
Standardized annotations for all components including pole structure, cables, crossarms, transformers, insulators, and geo-coordinates (lat/long).
Delivered clean, validated datasets to train AI/ML models for automatic detection and classification.
Implemented comprehensive validation framework encompassing system integration, infrastructure assessment, component identification, technology-enhanced verification, and structured data management with organized file upload protocols.
Established comprehensive data capture standards including pole identification, attachment details, status tracking, support structure specifications, voltage classifications, and precise geospatial coordinates to ensure complete infrastructure documentation.
Managed 200+ resources (staff + interns) for large-scale annotation.
Conducted video-based training on tools, process, and electrical components
Continuous Q&A and refresher sessions to maintain accuracy
Task assignment and tracking through SharePoint
Real-time monitoring of employee performance
Reassignment of errors for correction to ensure compliance
Established comprehensive service management including technical delivery readiness engagement, resource hiring and onboarding, subcontractor training and management, and equipment provisioning with approved technology standards to ensure seamless service delivery.
Dedicated QA team validated annotations before submission.
Ensured delivery aligned with KPIs:
Delivered monthly Work Completion Certificates (WCCs) for client sign-off and performance-based acceptance.
Performed comprehensive audits of components installed on electric poles using NDPc technology. Identified installed pole components, communication infrastructure, crossarms, guy anchors, and related elements while verifying against installed inventory to identify gaps and ensure complete documentation.
Implemented rigorous quality control with deficiency remediation protocols, customer acceptance test compliance, and comprehensive corrective action procedures within defined timelines to ensure service level requirements were consistently met.
Maintained 24x7 communication support, business continuity protocols, and structured acceptance processes with formal Work Completion Certificate procedures ensuring bilateral service validation and performance-linked payment eligibility.
Maintained 98%+ FTR across thousands of poles.
Completed more poles than the target 150K within 1.5 Months, over-delivering on client expectations.
Successfully managed with seamless ramp-up/down. 200+ resources
Delivered Al-ready datasets that significantly improved the accuracy of automated pole-component detection.
Poles Completed
Months Duration
Resources Managed
The client and their end-client acknowledged the quality, efficiency, and reliability of VertexPlus's delivery.
Tagged and validated thousands of utility poles across large geographies
Used Client's Platform for structured validation and digital twinning
Implemented SharePoint-based task and performance tracking for workforce management
Delivered error-free, Al-ready datasets that directly accelerated Al adoption
Achieved SLAS (≤ 9 mins/pole, 98% accuracy) consistently
Average validation time per pole
Accuracy Achieved
Leveraged advanced validation technologies for structured digital twinning processes
Real-time performance monitoring and task optimization through SharePoint integration
Delivered datasets that significantly improved automated detection accuracy
Successfully managed validation across diverse geographic regions and pole configurations
Through this project, VertexPlus demonstrated its ability to deliver large-scale, SLA-driven digital twinning and component tagging with precision and speed.
(structured tagging, Al dataset creation, SLA adherence)
(200+ resources, training, performance monitoring)
(multi-level review, acceptance governance)
VertexPlus enabled the client and their end-client to accelerate their smart grid modernization and Al-driven infrastructure management initiatives.
This success reinforced VertexPlus's position as a trusted partner for data preparation, Al enablement, and digital transformation in utilities and telecom sectors.
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