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AI-Powered Automated Fibre Optic Installation Quality Assurance Platform

dac.digital

Utilities

Information technology

Manual Installation Checks Inefficiencies

The client's current manual process of verifying fibre optic installations through photo reviews is time-consuming, resource-intensive, and prone to inconsistencies. This leads to delays in infrastructure deployment and potential quality issues.

About the Client

A major software development provider delivering digital solutions for utility companies, expanding its services internationally, including fibre optic infrastructure.

Project Objectives

Automate the fibre optic installation verification process.
Reduce manual effort and associated costs.
Improve the accuracy and consistency of quality control.
Accelerate infrastructure deployment timelines.
Enhance customer satisfaction through reliable installations.

Functional Requirements

Image upload functionality for contractors.
Automated analysis of installation photos.
Real-time verification of installation status (open/closed box, correct mounting).
AI-powered detection of incorrect installations.
Reporting dashboard with verification results and metrics.
Explainable AI (XAI) feature to visualize the model's decision-making process.
Integration with existing client systems (e.g., installation management platform).

Preferred Technologies

Python

PyTorch

FastAPI

OpenCV

Numpy

Deep Learning

Explainable AI (XAI)

Integrations Required

Client's existing installation management platform (API integration)
Secure cloud storage for data transfer (e.g., AWS S3, Azure Blob Storage)

Key Non-Functional Requirements

High accuracy (target 90% or higher)
Scalability to handle a large volume of installation images.
High availability and reliability.
Data security and privacy compliance.
Performance: Fast processing time for image analysis.
Maintainability and ease of updates.

Estimated Business Impact

Automating the installation verification process is expected to result in significant time and cost savings, reduced errors, improved quality control, and faster deployment of fibre optic infrastructure. The projected accuracy of 90% or higher will lead to fewer rework cycles and increased efficiency across the entire installation process.